The software industry is notorious for delayed timelines and cost overruns, with nearly a third of projects failing to meet their original schedules due to outdated practices. In this environment, traditional coding techniques are no longer sufficient to meet the growing demands for faster, more reliable, and higher-quality software solutions. IgniteTech stands out by deploying groundbreaking Generative AI technologies that redefine the fundamentals of software development. This role goes beyond conventional AI applications focused on minor improvements; it is about pioneering extensive, strategic projects that utilize AI to significantly boost both efficiency and innovation across the board. If hired, you will have the opportunity to architect and deploy AI-driven systems that cut development timelines, reduce errors, and deliver solutions with unparalleled scalability, setting new standards for the software industry. This Role Is Perfect For You If You Have Generated code modules to integrate cutting-edge LLMs into applications (e.g., customer support chatbots, API integrations) Enhanced predictive analytics or personalized recommendations to legacy systems using automated AI solutions Used AI to rapidly address repeated bug fixes and feature requests (e.g., real-time language translation or content personalization) This role is specifically for experienced professionals who have successfully implemented impactful Generative AI solutions in real-world settings. If you have not already executed tasks of this nature, this role is not for you. What You Will Be Doing Building New AI Products and Features: Fine-tune LLMs to create entirely new AI-powered products and individual modules that can be seamlessly integrated into existing solutions or form the foundation of brand-new offerings, as our team did recently with www.eloquens.ai Automating Internal Processes: Apply advanced AI techniques to automate internal tasks and workflows Lead AI Engineer Key Responsibilities Ensure faster product releases and increased customer satisfaction as a result of continuous AI-driven improvements Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 1 year of professional experience implementing impactful initiatives as a software engineer Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs (e.g., GPT, Claude, Mistral) to solve business problems About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-NewDelhi-LeadAIEngineer.004 Show more Show less

The software industry is notorious for delayed timelines and cost overruns, with nearly a third of projects failing to meet their original schedules due to outdated practices. In this environment, traditional coding techniques are no longer sufficient to meet the growing demands for faster, more reliable, and higher-quality software solutions. IgniteTech stands out by deploying groundbreaking Generative AI technologies that redefine the fundamentals of software development. This role goes beyond conventional AI applications focused on minor improvements; it is about pioneering extensive, strategic projects that utilize AI to significantly boost both efficiency and innovation across the board. If hired, you will have the opportunity to architect and deploy AI-driven systems that cut development timelines, reduce errors, and deliver solutions with unparalleled scalability, setting new standards for the software industry. This Role Is Perfect For You If You Have Generated code modules to integrate cutting-edge LLMs into applications (e.g., customer support chatbots, API integrations) Enhanced predictive analytics or personalized recommendations to legacy systems using automated AI solutions Used AI to rapidly address repeated bug fixes and feature requests (e.g., real-time language translation or content personalization) This role is specifically for experienced professionals who have successfully implemented impactful Generative AI solutions in real-world settings. If you have not already executed tasks of this nature, this role is not for you. What You Will Be Doing Building New AI Products and Features: Fine-tune LLMs to create entirely new AI-powered products and individual modules that can be seamlessly integrated into existing solutions or form the foundation of brand-new offerings, as our team did recently with www.eloquens.ai Automating Internal Processes: Apply advanced AI techniques to automate internal tasks and workflows Lead AI Engineer Key Responsibilities Ensure faster product releases and increased customer satisfaction as a result of continuous AI-driven improvements Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 1 year of professional experience implementing impactful initiatives as a software engineer Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs (e.g., GPT, Claude, Mistral) to solve business problems About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-Kolkata-LeadAIEngineer Show more Show less

Who you’ll be: Be a core contributor to our AI-first platform that redefines how users discover properties through intelligent, conversational experiences. You’ll bring advanced AI techniques into production, transforming models, agents, and data into seamless user interactions. This is a hands-on role where practical impact and real deployment matter most. What you’ll do: -Architect and build multi-agent systems using frameworks like LangGraph and LangChain, with working examples in deployed projects. -Develop agentic workflows that simulate human reasoning and multi-step task planning within chat-based environments. -Fine-tune LLMs (e.g., Mistral, GPT, Falcon) on custom datasets, ensuring proven improvements across real user tasks. -Build intent recognition, memory-based dialogue management, and contextual understanding modules, used in live products. -Design and implement machine learning pipelines for personalized recommendation engines powered by behavioral feedback. -Apply Retrieval-Augmented Generation (RAG) strategies to drive contextual query handling and dynamic property discovery. -Connect AI systems with the backend, supporting real-time conversational UX. -Collaborate with design, product, and dev teams to ship AI features, track performance metrics, and improve over iterations. -Ensure all the above have been practically applied in at least one live project or commercial deployment. Nice to Have: -Proven experience working with LangGraph, LangChain, or similar orchestration tools in real AI workflows. -Contributions to AI-first platforms like e-commerce advisors, travel planners, or property search tools. -Knowledge of cloud-based ML infrastructure (AWS, Docker, GitHub Actions) used to deploy AI into production environments. -Passion for building human-like agent behaviour, multi-agent collaboration, and personalised AI systems. Job Type: Full-time Pay: ₹50,000.00 - ₹70,000.00 per month Schedule: Day shift Monday to Friday Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Location: Ahmedabad, Gujarat (Preferred) Work Location: In person

*Machine Learning Lead – LLMs, GenAI & Conversational AI* Noida (Sector 63) – Hybrid (office-based role) * *2+ years* hands-on in LLM / Generative AI * *5+ years* overall in AI/ML or IT Full-time 🔍 About the Role Jupiter AI Labs is looking for a *Machine Learning Lead* to spearhead development and deployment of cutting-edge AI solutions across NLP, Vision, and Speech. You’ll architect LLM & agentic-AI pipelines, build conversational agents, own CI/CD deployments, mentor junior engineers, and liaise directly with clients and stakeholders. 🧩 Key Responsibilities * *End-to-end LLM Solutions*: Lead design, fine-tuning & deployment of chatbots, multi-agent (A2A/MCP) workflows. * *Open-Source Model Integration*: Architect pipelines with Llama2, Mistral, Claude, GPT-series via Hugging Face, LangChain, etc. * *AI Agent Orchestration*: Build automations with N8N / Make.com / LangGraph. * *Conversational AI*: Develop assistants using Botpress, Rasa, Azure Bot Framework, AWS Lex. * *Speech & Vision*: Integrate ASR (Whisper, Coqui), TTS engines, and OCR models (Tesseract, PaddleOCR). * *Full-Stack ML APIs*: Develop FastAPI/Flask services, integrate into React/Node.js front ends. * *Cloud CI/CD*: Deploy scalable models on AWS/Azure/GCP, automate via Docker, Terraform, GitHub Actions. * *Team Leadership*: Mentor ML engineers, run daily standups, produce status reports. * *Client Engagement*: Represent Jupiter AI Labs in technical reviews, manage stakeholder expectations, deliver project documentation. --- ## 🛠️ Required Skills & Experience * 2+ years in *LLM / Generative AI* (prompt-engineering, fine-tuning, RAG). * Proficient with *Hugging Face*, LangChain, Transformers, vector databases. * Hands-on with *agentic AI* tools (LangGraph, CrewAI) and A2A/MCP pipelines. * Experience building *conversational agents* (Rasa, Botpress, Azure Bot, Lex). * Expertise in *ASR* and *TTS* integrations (Whisper, commercial APIs). * OCR modeling (Tesseract, PaddleOCR, Google Vision API). * Full-stack ML API development (FastAPI/Flask + React or Node). * Cloud deployment & CI/CD on AWS/Azure/GCP (Docker, Kubernetes, Terraform). * Workflow automation with *N8N*, Make.com, or Zapier. * Computer Vision experience (YOLO, OpenCV, custom CNNs). * Strong understanding of *MLOps* practices, version control, and monitoring. * Proven track record running daily standups, reporting, and mentoring. --- ## 🌟 Soft Skills * Exceptional verbal & written English communication. * Collaborative leadership in cross-functional teams. * Highly organized, proactive, and deadline-driven. * Ability to train freshers and manage junior engineers. * Strong stakeholder management and client-facing presence. --- ## 🎓 Preferred Qualifications * B.Tech / M.Tech / Ph.D. in Computer Science, AI, or related field. * Open-source contributions (GitHub, Hugging Face Spaces). * Certifications in AI/ML (AWS, Google Cloud, etc.). --- ## 🎁 What We Offer * Exposure to breakthrough LLM, CV, ASR & GenAI projects. * Ownership of end-to-end architecture and experiments. * Fast-paced, learning-driven culture. * Competitive salary + performance bonuses. * Medical insurance, flexible work hours, and career growth path. *To apply, please share your resume, answers to the screening questions, and links to any relevant GitHub or project portfolios to hr@juppiterailabs.com ( binni@juppiterailabs.com)**. We look forward to building the future of AI together! Show more Show less

In the fast-paced world of software development, outdated practices lead to missed deadlines and budget overruns, with a significant portion of projects failing to meet their original goals. To overcome these challenges, the industry demands innovative approaches that deliver software solutions with speed, reliability, and quality. Join IgniteTech and be at the forefront of utilizing cutting-edge Generative AI technologies that are revolutionizing the software development landscape. This role transcends traditional AI applications, focusing instead on pioneering large-scale projects that harness AI to enhance efficiency and drive innovation. As a key player, you'll design and implement AI-driven systems that accelerate development timelines, minimize errors, and deliver scalable solutions, setting new industry benchmarks. This Opportunity Is Ideal For Candidates Who Have Created code modules to integrate advanced LLMs into various applications like customer support chatbots and API integrations Enhanced legacy systems with predictive analytics or personalized recommendations using AI automation Employed AI to swiftly tackle recurring bug fixes and feature requests, such as real-time language translation or content personalization This position is tailored for seasoned professionals with a track record of implementing impactful Generative AI solutions in real-world environments. If you haven't yet accomplished this, this role may not be suitable for you. What You Will Be Doing Develop Innovative AI Solutions: Refine LLMs to craft new AI-driven products and modules that can seamlessly integrate with existing systems or serve as the foundation for new innovations, much like our recent project www.eloquens.ai Streamline Internal Operations: Utilize advanced AI strategies to automate internal processes and workflows Artificial Intelligence Engineer Key Responsibilities Drive faster product launches and enhance customer satisfaction through continuous AI-powered improvements Basic Requirements AI-First Approach (if your first instinct is to write code and then use AI tools to verify or enhance it, this position may not be right for you) Minimum of 1 year of professional experience in implementing impactful initiatives as a software engineer Proficiency with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Proven experience in executing Generative AI solutions with significant quantitative impact Experience in leveraging various LLMs (e.g., GPT, Claude, Mistral) to address business challenges About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-Mumbai-ArtificialInte.004 Show more Show less

The software industry is notorious for delayed timelines and cost overruns, with nearly a third of projects failing to meet their original schedules due to outdated practices. In this environment, traditional coding techniques are no longer sufficient to meet the growing demands for faster, more reliable, and higher-quality software solutions. IgniteTech stands out by deploying groundbreaking Generative AI technologies that redefine the fundamentals of software development. This role goes beyond conventional AI applications focused on minor improvements; it is about pioneering extensive, strategic projects that utilize AI to significantly boost both efficiency and innovation across the board. If hired, you will have the opportunity to architect and deploy AI-driven systems that cut development timelines, reduce errors, and deliver solutions with unparalleled scalability, setting new standards for the software industry. This Role Is Perfect For You If You Have Generated code modules to integrate cutting-edge LLMs into applications (e.g., customer support chatbots, API integrations) Enhanced predictive analytics or personalized recommendations to legacy systems using automated AI solutions Used AI to rapidly address repeated bug fixes and feature requests (e.g., real-time language translation or content personalization) This role is specifically for experienced professionals who have successfully implemented impactful Generative AI solutions in real-world settings. If you have not already executed tasks of this nature, this role is not for you. What You Will Be Doing Building New AI Products and Features: Fine-tune LLMs to create entirely new AI-powered products and individual modules that can be seamlessly integrated into existing solutions or form the foundation of brand-new offerings, as our team did recently with www.eloquens.ai Automating Internal Processes: Apply advanced AI techniques to automate internal tasks and workflows Lead AI Engineer Key Responsibilities Ensure faster product releases and increased customer satisfaction as a result of continuous AI-driven improvements Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 1 year of professional experience implementing impactful initiatives as a software engineer Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs (e.g., GPT, Claude, Mistral) to solve business problems About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-Mumbai-LeadAIEngineer.004 Show more Show less

Ready to leverage your mastery of LLMs to drive productivity? At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs. In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity. Your mandate? Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output. Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools. Ready to unleash your expertise and become a force of change? Let's explore if you're the catalyst we're seeking for this exciting opportunity! What You Will Be Doing Designing and building high-quality AI automations to streamline processes, enhance productivity, and deliver robust, scalable solutions across diverse applications Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration What You Won’t Be Doing Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize Being stuck on repetitive tasks - no two problems are the same Artificial Intelligence Engineer Key Responsibilities Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 5 years of professional work experience Proficiency in Python and AWS Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs through their APIs (e.g., GPT, Claude, Mistral) to solve business problems About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Vadodara-ArtificialInte.008 Show more Show less

The software industry is notorious for delayed timelines and cost overruns, with nearly a third of projects failing to meet their original schedules due to outdated practices. In this environment, traditional coding techniques are no longer sufficient to meet the growing demands for faster, more reliable, and higher-quality software solutions. IgniteTech stands out by deploying groundbreaking Generative AI technologies that redefine the fundamentals of software development. This role goes beyond conventional AI applications focused on minor improvements; it is about pioneering extensive, strategic projects that utilize AI to significantly boost both efficiency and innovation across the board. If hired, you will have the opportunity to architect and deploy AI-driven systems that cut development timelines, reduce errors, and deliver solutions with unparalleled scalability, setting new standards for the software industry. This Role Is Perfect For You If You Have Generated code modules to integrate cutting-edge LLMs into applications (e.g., customer support chatbots, API integrations) Enhanced predictive analytics or personalized recommendations to legacy systems using automated AI solutions Used AI to rapidly address repeated bug fixes and feature requests (e.g., real-time language translation or content personalization) This role is specifically for experienced professionals who have successfully implemented impactful Generative AI solutions in real-world settings. If you have not already executed tasks of this nature, this role is not for you. What You Will Be Doing Building New AI Products and Features: Fine-tune LLMs to create entirely new AI-powered products and individual modules that can be seamlessly integrated into existing solutions or form the foundation of brand-new offerings, as our team did recently with www.eloquens.ai Automating Internal Processes: Apply advanced AI techniques to automate internal tasks and workflows Lead AI Engineer Key Responsibilities Ensure faster product releases and increased customer satisfaction as a result of continuous AI-driven improvements Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 1 year of professional experience implementing impactful initiatives as a software engineer Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs (e.g., GPT, Claude, Mistral) to solve business problems About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-Surat-LeadAIEngineer Show more Show less

Elite AI Architects Only: Redefine Productivity Through LLM Mastery Trilogy isn't searching for just another engineer—we're seeking a visionary who breathes AI and dreams in algorithms. If you've mastered LLMs and are ready to transcend conventional development, this role offers the rare opportunity to focus exclusively on expanding your expertise while creating transformative solutions. While others talk about AI's potential, we're already deploying it to reshape industries. Here, you'll architect AI-driven productivity tools that deliver measurable business impact—no bureaucracy, no wasted potential, just pure innovation that clients can immediately leverage. What You Will Be Doing Architecting sophisticated AI automations that transform complex business processes into streamlined, intelligent workflows Pioneering implementations of cutting-edge AI technologies including GPT-4 Vision and Amazon CodeWhisperer to push the boundaries of what's possible Optimizing AI solution deployments across AWS infrastructure to ensure maximum performance, scalability, and seamless integration What You Won’t Be Doing Writing conventional code—our AI systems handle the implementation while you focus on strategic architecture and innovation Solving the same problems repeatedly—each challenge requires fresh thinking and novel approaches Machine Learning Engineer Key Responsibilities Designing and implementing autonomous AI systems that operate without human intervention, creating scalable solutions that transform productivity across entire organizations. Basic Requirements Demonstrated AI-First Mindset—you must approach problems by leveraging AI tools first rather than traditional coding (candidates with conventional development approaches need not apply) Minimum 5 years of professional experience in relevant fields Advanced Python proficiency and comprehensive AWS knowledge Proven expertise with GenAI code assistants including Github Copilot, Cursor.sh, and v0.dev Verifiable track record implementing Generative AI solutions with quantifiable business impact Demonstrated success leveraging multiple LLM platforms (GPT, Claude, Mistral) through their APIs to solve complex business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Noida-MachineLearnin.013 Show more Show less

Ready to leverage your mastery of LLMs to drive productivity? At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs. In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity. Your mandate? Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output. Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools. Ready to unleash your expertise and become a force of change? Let's explore if you're the catalyst we're seeking for this exciting opportunity! What You Will Be Doing Designing and building high-quality AI automations to streamline processes, enhance productivity, and deliver robust, scalable solutions across diverse applications Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration What You Won’t Be Doing Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize Being stuck on repetitive tasks - no two problems are the same Artificial Intelligence Engineer Key Responsibilities Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact Basic Requirements AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply) At least 5 years of professional work experience Proficiency in Python and AWS Familiarity with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Previous experience successfully implementing Generative AI solutions, resulting in substantial quantitative impact Previous experience leveraging different LLMs through their APIs (e.g., GPT, Claude, Mistral) to solve business problems About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Noida-ArtificialInte.006 Show more Show less

In the fast-paced world of software development, outdated practices lead to missed deadlines and budget overruns, with a significant portion of projects failing to meet their original goals. To overcome these challenges, the industry demands innovative approaches that deliver software solutions with speed, reliability, and quality. Join IgniteTech and be at the forefront of utilizing cutting-edge Generative AI technologies that are revolutionizing the software development landscape. This role transcends traditional AI applications, focusing instead on pioneering large-scale projects that harness AI to enhance efficiency and drive innovation. As a key player, you'll design and implement AI-driven systems that accelerate development timelines, minimize errors, and deliver scalable solutions, setting new industry benchmarks. This Opportunity Is Ideal For Candidates Who Have Created code modules to integrate advanced LLMs into various applications like customer support chatbots and API integrations Enhanced legacy systems with predictive analytics or personalized recommendations using AI automation Employed AI to swiftly tackle recurring bug fixes and feature requests, such as real-time language translation or content personalization This position is tailored for seasoned professionals with a track record of implementing impactful Generative AI solutions in real-world environments. If you haven't yet accomplished this, this role may not be suitable for you. What You Will Be Doing Develop Innovative AI Solutions: Refine LLMs to craft new AI-driven products and modules that can seamlessly integrate with existing systems or serve as the foundation for new innovations, much like our recent project www.eloquens.ai Streamline Internal Operations: Utilize advanced AI strategies to automate internal processes and workflows Artificial Intelligence Engineer Key Responsibilities Drive faster product launches and enhance customer satisfaction through continuous AI-powered improvements Basic Requirements AI-First Approach (if your first instinct is to write code and then use AI tools to verify or enhance it, this position may not be right for you) Minimum of 1 year of professional experience in implementing impactful initiatives as a software engineer Proficiency with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Proven experience in executing Generative AI solutions with significant quantitative impact Experience in leveraging various LLMs (e.g., GPT, Claude, Mistral) to address business challenges About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5270-IN-NewDelhi-ArtificialInte.004 Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Prompt Enginee r and play a pivotal role in shaping how startups leverage LLMs for real-world use cases. You’ll design, test, and optimize prompts for tasks like summarization, chatbots, content generation, code generation, document processing, and more—working with top models like GPT- 4, Claud e, Gemin i, and open-source LLM s .Work from anywhere, take on projects that match your strengths, and collaborate with innovative teams building the next wave of AI-powered products . Role Overview As an AI Prompt Engineer, you will: Craft Effective Prompt s: Design structured prompts for a range of tasks, ensuring accuracy, relevance, and safety of responses Test & Optimize Output s: Iteratively refine prompts based on performance metrics, user feedback, and edge case behavior Collaborate Cross-Functionall y: Work with developers, product managers, and designers to integrate LLMs into user-facing applications What You’ll Do Prompt Engineering & Evaluation Create, test, and tune prompts for tasks like Q&A, summarization, creative writing, coding assistance, and RAG system Evaluate outputs across edge cases to ensure quality, consistency, and alignment Design few-shot or zero-shot examples to improve model behavior across contexts Integration & Collaboration Collaborate with developers to integrate prompts into backend systems or APIs.Support the design of agent behaviors, tools, and memory strategies through effective prompt design Contribute to prompt libraries and documentation for reusability and scaling Technical Requirements & Skills Exper ience: 1–3+ years working with LLMs, NLP, or appli ed AI.LLM Expe rtise: Familiarity with GPT-4, Claude, Gemini, Mistral, or other leading m odels Prompting Tools: Experience with LangChain, OpenAI Playground, Anthropic Console, or similar tools Bonus: Understanding of few-shot/fine-tuned approaches, embeddings, and evaluation techniques Communic ation: Strong writing, analytical, and problem-solving skills to explain and iterate on prompt logic What We’re Looking for A language- and logic-savvy thinker who understands how LLMs interpret inputs A detail-oriented creator who enjoys refining outputs and iterating toward clarity A freelancer who’s excited to shape the future of human-AI interaction through better instructions Why Join Us? Immediate Impact: Work on projects where prompt quality directly drives user experience Remote & F lexible: Take on hourly or project-based work from anywhere Future Opport unities: Stay matched with prompt-heavy roles across chatbots, agents, and AI content Creative A utonomy: Help startups unlock the full potential of LLMs through precision prompting Ready to prompt the future Apply now to beco me a key AI Prompt Engineer for our client and a valued member of the BeGig network! Show more Show less

Elite AI Architects Only: Redefine Productivity Through LLM Mastery Trilogy isn't searching for just another engineer—we're seeking a visionary who breathes AI and dreams in algorithms. If you've mastered LLMs and are ready to transcend conventional development, this role offers the rare opportunity to focus exclusively on expanding your expertise while creating transformative solutions. While others talk about AI's potential, we're already deploying it to reshape industries. Here, you'll architect AI-driven productivity tools that deliver measurable business impact—no bureaucracy, no wasted potential, just pure innovation that clients can immediately leverage. What You Will Be Doing Architecting sophisticated AI automations that transform complex business processes into streamlined, intelligent workflows Pioneering implementations of cutting-edge AI technologies including GPT-4 Vision and Amazon CodeWhisperer to push the boundaries of what's possible Optimizing AI solution deployments across AWS infrastructure to ensure maximum performance, scalability, and seamless integration What You Won’t Be Doing Writing conventional code—our AI systems handle the implementation while you focus on strategic architecture and innovation Solving the same problems repeatedly—each challenge requires fresh thinking and novel approaches Machine Learning Engineer Key Responsibilities Designing and implementing autonomous AI systems that operate without human intervention, creating scalable solutions that transform productivity across entire organizations. Basic Requirements Demonstrated AI-First Mindset—you must approach problems by leveraging AI tools first rather than traditional coding (candidates with conventional development approaches need not apply) Minimum 5 years of professional experience in relevant fields Advanced Python proficiency and comprehensive AWS knowledge Proven expertise with GenAI code assistants including Github Copilot, Cursor.sh, and v0.dev Verifiable track record implementing Generative AI solutions with quantifiable business impact Demonstrated success leveraging multiple LLM platforms (GPT, Claude, Mistral) through their APIs to solve complex business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Vadodara-MachineLearnin.012 Show more Show less

Are you an AI virtuoso ready to push the boundaries of what's possible with Large Language Models? Join Trilogy, where we're not just riding the AI wave – we're steering it towards revolutionary productivity solutions. While others are still debating AI's potential, we're already harnessing its power to create tangible business impact. Picture yourself at the helm of cutting-edge AI initiatives that transform how companies operate, making the complex simple and the impossible achievable. This isn't your typical developer role. Here, you'll be an AI architect, crafting intelligent solutions that amplify human potential and redefine workplace efficiency. No red tape, no endless meetings – just pure innovation with real-world impact. If you're energized by the prospect of being at the forefront of AI-driven transformation, we want to hear from you! What You Will Be Doing Craft and deploy sophisticated AI automation systems that redefine productivity benchmarks and set new standards for scalable solutions Pioneer the integration of cutting-edge AI technologies, including GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of what's possible in development Architect and optimize AI implementations across AWS infrastructure, ensuring robust performance and seamless integration What You Won’t Be Doing Writing conventional code from scratch - our AI ecosystem empowers you to focus on strategic innovation Getting bogged down in monotonous tasks - each challenge presents unique opportunities for creative problem-solving Python Developer Key Responsibilities Lead the design and implementation of autonomous AI systems that operate with complete independence, creating scalable solutions that drive exponential business growth and efficiency Basic Requirements Demonstrated commitment to an AI-first approach (candidates who prioritize traditional coding over AI-driven solutions need not apply) Minimum 5 years of professional industry experience Strong command of Python programming and AWS infrastructure Hands-on experience with modern GenAI development tools (Github Copilot, Cursor.sh, v0.dev) Proven track record of implementing Generative AI solutions with measurable business impact Extensive experience working with various LLM APIs (GPT, Claude, Mistral) to address complex business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Ahmedaba-PythonDevelope.006 Show more Show less

Ready to revolutionize the future of software development? At IgniteTech, we're not just keeping pace with the AI revolution - we're leading it. In an industry where 30% of projects still miss their deadlines due to traditional development bottlenecks, we're crafting a new paradigm that merges cutting-edge GenAI with software engineering excellence. This isn't your typical software engineering role. As our AI Software Engineer, you'll be pioneering the integration of artificial intelligence into the very fabric of software development. Imagine being at the helm of innovations that don't just incrementally improve but fundamentally transform how software is conceived, architected, and delivered. If you're someone who gets excited about emerging technologies, thrives on pushing boundaries, and wants to be part of a team that's redefining industry standards, we want to talk to you. This role goes beyond conventional coding - it's about shaping the future of software development through the lens of artificial intelligence. What You Will Be Doing Your mission will be twofold: Architect the Future: Create groundbreaking AI-powered systems that revolutionize software development automation, from intelligent architecture generation to sophisticated predictive coding frameworks. Stay at the Cutting Edge: Immerse yourself in the AI technology landscape through intensive R&D, knowledge sharing at prestigious conferences, and active participation in both academic and professional technology communities. What You Won’t Be Doing To be clear, this role transcends traditional development work: You won't be bogged down by routine maintenance tasks or basic debugging assignments This isn't about conventional software development or implementing standard features - we're focused on AI-driven innovation and transformation AI Software Engineer Key Responsibilities Your core mission is to leverage your engineering prowess to: Drive transformative improvements in development velocity Minimize human error through AI-powered solutions Elevate code quality standards Accelerate product time-to-market Enhance overall customer satisfaction through superior software delivery Basic Requirements To succeed in this role, you'll need: A proven track record of 3+ years driving impactful engineering initiatives Hands-on experience with modern AI coding assistants (Github Copilot, Cursor.sh, v0.dev) Demonstrated success in implementing Generative AI solutions Practical experience working with various LLM platforms (GPT, Claude, Mistral) to address real-world business challenges About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5269-IN-Kolkata-AISoftwareEngi.017 Show more Show less

Job Information Company Yubi Date Opened 05/23/2025 Job Type Full time Work Experience 3-6 years Industry Technology City Bangalore State/Province Karnataka Country India Zip/Postal Code 560001 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Summary: We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), along with hands-on experience in building and deploying conversational AI/chatbots. The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends. Requirements Required Skills & Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers. Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models. Understanding of Prompt Engineering and Fine-tuning LLMs. Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.). Knowledge of Knowledge Graphs and Symbolic AI. Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques. Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects. Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

Company Description Bytezera is a data services provider that specialise in AI and data solutions to help businesses maximise their data potential. With expertise in data-driven solution design, machine learning, AI, data engineering, and analytics, we empower organizations to make informed decisions and drive innovation. Our focus is on using data to achieve competitive advantage and transformation. About the Role We are seeking a highly skilled and hands-on AI Engineer to drive the development of cutting-edge AI applications using the latest in Large Language Models (LLMs) , agentic frameworks , and Generative AI technologies . This role covers the full AI development lifecycle—from data preparation and model training to deployment and optimization—with a strong focus on NLP and open-source foundation models . You will be directly involved in building and deploying goal-driven, autonomous AI agents and scalable AI systems for real-world use cases. Key Responsibilities Build and deploy advanced LLM-based AI agents using frameworks such as LangGraph , CrewAI , AutoGen , and OpenAgents . Fine-tune and optimize open-source LLMs (e.g., GPT-4 , LLaMA 3 , Mistral , T5 ) for domain-specific applications. Design and implement retrieval-augmented generation (RAG) pipelines with vector databases like FAISS , Weaviate , or Pinecone . Develop NLP pipelines using Hugging Face Transformers , spaCy , and LangChain for various text understanding and generation tasks. Leverage Python with PyTorch and TensorFlow for training, fine-tuning, and evaluating models. Prepare and manage high-quality datasets for model training and evaluation. Deploy AI models in cloud-native production environments using AWS services (e.g., SageMaker, Lambda, Bedrock). Containerize and orchestrate deployments with Docker and Kubernetes . Continuously monitor model performance and improve accuracy, efficiency, and scalability. Collaborate with cross-functional teams to ensure seamless integration and delivery of AI capabilities. Experience & Qualifications 2+ years of hands-on experience in AI engineering , machine learning , or data science roles. Proven track record in building and deploying NLP or Generative AI models. Experience with agentic workflows or autonomous AI agents is highly desirable. Technical Skills Languages & Libraries:Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, spaCy LLMs & Generative AI:GPT, LLaMA 3, Mistral, T5, Claude, and other open-source or commercial models Agentic Tooling:LangGraph, CrewAI, AutoGen, OpenAgents Vector databases (Pinecone or ChromaDB) DevOps & Deployment: Docker, Kubernetes, AWS (SageMaker, Lambda, Bedrock, S3) Core ML Skills: Data preprocessing, feature engineering, model evaluation, and optimization Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Show more Show less

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description Blend is hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelor’s/Master’s in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Additional Information Thrive & Grow with Us : Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications. Show more Show less

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills – ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out? Master’s degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_308144 Show more Show less

Job description 🚀 Job Title: ML Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the ML Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in / vishnu.sethi@cur8.in Subject Line: Application – ML Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job description 🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

About Milliman Milliman is among the world's largest providers of actuarial and related products and services. Our mission is to serve our clients to protect the health and financial well-being of people everywhere. Founded in 1947, Milliman is an independent firm with offices in major cities around the globe. We are owned and managed by our principals—senior consultants whose selection is based on their technical, professional, and business achievements. Milliman serves the full spectrum of business, financial, government, union, education, and nonprofit organizations. In addition to our consulting actuaries, Milliman's body of professionals includes numerous other specialists, ranging from clinicians to economists. Position Overview We are seeking a skilled and motivated Software Developer with a strong focus on advanced language model technologies, specifically with 2 to 3 years of experience working with Llama 3 or Mistral 7B using spaCy or Haystack. Additionally, the ideal candidate will have some experience with the .NET tech stack. This role involves integrating these technologies into our software solutions to enhance functionality and meet the needs of our organization and clients. Key Responsibilities Integrate language models like Llama 3 or Mistral 7B using spaCy or Haystack to augment software capabilities. Design and develop solutions leveraging language technologies for improved data processing and user interaction. Collaborate with cross-functional teams to identify requirements and deliver solutions with advanced language processing capabilities. Develop and maintain applications using elements of the .NET tech stack as needed. Work with XML for data manipulation and exchange. Implement JavaScript and Ajax to enhance user interface and experience. Troubleshoot and resolve application issues and optimize language model integration. Participate in code reviews and contribute to the continuous improvement of development processes. Qualifications Bachelor's degree in computer science, Information Technology, or related field. 2 to 3 years of experience with Llama 3 or Mistral 7B using spaCy or Haystack. Some experience with the .NET tech stack, including ASP.NET or MVC. Strong understanding of language model integration and optimization. Proficient in JavaScript, Ajax, and CSS for front-end development. Experience with data manipulation and exchange using XML. Ability to work independently and as part of a team. Excellent problem-solving skills and attention to detail. Good communication skills, both written and verbal. Preferred Skills Experience with Agile development methodologies. Knowledge of modern front-end frameworks and libraries. Familiarity with version control systems like Git. Understanding of software development lifecycle (SDLC) processes. Show more Show less

Job description 🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

About Mistral: High-Density Interconnect PCBs have a higher wiring density per unit area than conventional PCB and are utilized in complex small form factor designs. This advancement in PCB design is being driven by the miniaturization of components and semiconductor packages that supports advanced features that are getting utilized in revolutionary new products like wearable electronics, touch screen computing, compact, small footprint gadgets, defense, and aerospace applications. Mistral’s expert team has extensive experience in offering High-Density Interconnect PCB designs including microvias, blind and buried vias, fine lines, and spaces, sequential lamination, via-in-pad technology-based techniques. Why Mistral? 1. Core Technology Company 2. Flexibility to Work Across Domains 3. Great Learning Opportunity on newer Technologies 4. Flexibility to learn…Freedom to execute…Opportunity to grow 5. Can Gain Expertise – Complete Product Cycle 6. Process Oriented 7. Open Culture, Easy Accessibility to Seniors & Management Job Description: Mandatory Requirements: PCB Layout Engineer with hands-on Knowledge in High-Speed Designs. Knowledge on PCB Footprints. Designed Complex High-Speed Layouts. Worked on HDI PCB Layouts. Flexible to Work on shift. The below PreRequisites are Required to be successful in the above Organizational Role. Preferable: Layout Using Allegro and Orcad Capture for schematics Altium and Pad are optional Mandatory Skills: PCB, CAD, HDI Desirable Skills: Altium and Pad Years Of Experience: 5 to 10 years Show more Show less

Project Lead - Hardware Design About Mistral: From the initial architecture stage all the way to manufacturing support, Mistral provides hardware design services for embedded product development which include PCB layout, board design, programmable logic and enclosure designs integrating FPGAs, DSPs, microprocessors, and complex RF, analog, and power systems to realize the complete embedded electronic design for a given application. Job Description: Designation: Project Lead Department: Engineering Education/Qualification: B.E/B.Tech Years Of Exp: 15+ Years The Ideal Resource will match the below pre-requisites: Digital / Mixed-Signal Design Experience for Consumer / Industrial / Automotive markets Microprocessor / FPGA Experience - TI, NXP, Qualcomm, Renesas, Xilinx, Altera FPGA.High Speed Memory interfaces – DDR4, LPDDR4, OSPI, EMMC, SD Audio and Video Design Experience - LCD, HDMI, Display port, DSI, CSI, McASP Wired Connectivity – Ethernet, USB, PCIe, DC/DC Power supply design, Battery operated product design experience Test and Debug - Board Bring Up, Interface testing, Level zero coding Knowledge of debugging tools like IDEs, Emulators Instrument Knowledge - CROs, Multimeters, Logic Analyzers. Spectrum Analyzers Multi-layer PCB Layout, DFM & DFA knowledge. Exposure to design tools - ORCAD, Allegro / Mentor Graphics / Altium Experience of interaction with PCB fabrication house and assembly house for hardware build. Customer communication and front-ending for technical aspects Design analysis for SI, PDN, Thermal, EMI/EMC Product qualification / Compliances test experiences Level-0 coding in C / Assembly for hardware validation. Skills Required: Digital Design, Mixed Signal Design, High Speed Board Design, Microprocessors Desirable Skills: Hardware Design Location: Bangalore, Karnataka, India Show more Show less