The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹300,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI: 2 years (Required) Work Location: In person

About Us We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day). About The Role We are seeking a Senior Software Engineer, Full Stack (8-16 years of experience) to work in the AI Connectors team. Notion AI connectors help customers find answers to questions outside of Notion, in applications like Slack and Google Drive. The team is responsible for ingesting data from third-party sources and continuously keeping it in sync to provide relevant information for our customers. We are seeking dynamic, skilled, and experienced engineers who have thrived in fast-paced environments and have a track record of delivering projects frequently. What You'll Achieve You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance. You’ll build and maintain foundational pieces of Notion’s building blocks, enabling a wide array of use cases in Notion such as docs, wikis, issue tracking, project management, and more. You’ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions. You’ll partner with engineering leaders to identify and execute against high leverage technical investment that ensure the long-term flexibility and sustainability of our core systems. Skills You'll Need To Bring Proven track record of execution: You have 6+ years of fullstack engineering experience, including building world-class product experiences alongside a team of engineers. Shipping quality user interfaces: You partner closely with product and deign to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. If you've experienced the technical challenges of rapid growth, that's a plus. Building the team: You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth, but also the growth, learning, and development of your teammates. Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Nice To Haves You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres. You have built or contributed to an internal platform or framework in the past. You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Show more Show less

Who We Are Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation, and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people. Why Escalent? Once you join our team, you will have the opportunity to... Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more. Gain exposure to a rich variety of research techniques from knowledgeable professionals. Enjoy a remote first/hybrid work environment with a flexible schedule. Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research. Experience peace of mind working for a company with a commitment to conducting research ethically. Build lasting relationships with fun colleagues in a culture that values each person. Role Overview: As a Machine Learning Engineer at Escalent in India, you will be part of an award-winning data analytics and advisory firm. In this role, you will be responsible for providing front-line support for products and services, handling service requests within SLAs, monitoring and resolving issues, and acting as a team specialist in specific areas of IT support and products. Roles & Responsibilities: Collaborating with data scientists, software engineers, and business stakeholders to understand complex problem domains and define machine learning requirements and objectives Creating AI algorithm prototypes based on project specifications Engineering and extracting relevant features from the data to enhance model performance and accuracy Implementing changes to algorithms to improve AI performance Troubleshooting and addressing problems with deployed AI to improve user experience Documenting all steps in the development process Remaining up to date on the latest innovations in machine learning Required Skills: Deep knowledge of Python programming and experience with deep learning frameworks 6-8 years of experience in software design, development, and algorithm related solutions 3+ years of relevant machine learning experience including machine learning, optimization algorithms, deep-learning techniques Ability to diagnose technical problems, debug code, and automate routine tasks Understanding of the Agile methodology Ability to work in a team setting Organizational and time management skills Desirable skills: Experience with Azure cognitive services and OpenAI APIs Strong technical background & Strategic thinking Effective skills in written and verbal communication Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent.co/careers-and-culture/

Job Description: Join our pioneering team at BuzzBoard, a recognized first-mover in enterprise generative AI, as a Team Lead of Generative AI and LLM. We've already deployed production GenAI systems generating thousands of posts and content pieces monthly across our ecosystem. You'll lead the charge in scaling our mature AI infrastructure while architecting next-generation applications. As a key leader in our Product Team, you'll orchestrate collaboration between Data Engineering, Software Engineering, and AI Operations teams while expanding our proven generative AI innovations. Key Responsibilities: Strategic Leadership & Vision Lead and mentor a team of GenAI engineers and researchers within our mature AI ecosystem Scale our proven production AI systems generating thousands of content pieces monthly across multiple business verticals Define generative AI strategy and roadmap building upon our established first-mover advantage Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities Contribute and own the GenAI governance frameworks and best practices Advanced AI Development Architect and scale sophisticated generative AI systems building upon our established multi-LLM infrastructure (GPT-4o, Claude Sonnet, Gemini, O1) Optimize our proven tech stack including LangChain, CrewAI, LangGraph, and vector databases (Chroma) Implement advanced RAG, fine-tuning, and prompt engineering across our existing model inventory Lead development of next-generation agentic AI systems with tool use, reasoning capabilities, and autonomous decision-making Enhance our multi-agent orchestration platforms and complex workflow automation Technology Leadership Drive adoption of agentic AI frameworks including LangGraph, CrewAI, AutoGen, and Microsoft Semantic Kernel Lead implementation of multi-agent orchestration platforms and autonomous decision-making systems Oversee vector databases (Pinecone, Weaviate, Chroma) and semantic search systems Lead integration of AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow) Champion AI development platforms and low-code/no-code solutions Enterprise Integration & Scaling Scale our mature AI infrastructure supporting thousands of monthly content generations across multiple business verticals Enhance our proven MLOps and LLMOps practices for continuous model deployment and performance monitoring Drive technical collaboration for seamless AI integration into established production systems Optimize edge AI capabilities and multi-environment deployment strategies Enhance our performance tracking framework including regression testing, edit ratio tracking, and analytics integration Skills and Qualifications: Core Technical Expertise Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience Expert proficiency in our established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration Hands-on experience with our model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments Hands-on with programming skills in Python with experience in FastAPI, Streamlit, and modern web frameworks Expert-level understanding of prompt engineering, fine-tuning techniques, and model optimization at scale AI Architecture & Operations Experience with vector databases, embedding models, and semantic search implementations Proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments Knowledge of AI model serving platforms (vLLM, TensorRT-LLM, Ollama) and inference optimization Understanding of AI safety, alignment, and responsible AI development practices Technical Leadership (Individual Contributor Focus) Experience providing technical guidance to engineering teams in fast-paced environments Experience with AI product development lifecycle and technical go-to-market strategies Strong technical communication and ability to explain AI concepts to technical and non-technical audiences Knowledge of AI regulation landscape and compliance requirements Modern AI Ecosystem Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel) - REQUIRED Experience with compound AI systems and multi-step reasoning architectures - REQUIRED Experience with multimodal AI systems and computer vision integration Understanding of federated learning and privacy-preserving AI techniques Knowledge of AI model evaluation frameworks and benchmarking methodologies Advanced Qualifications: Agentic AI Mastery (Required) Extensive hands-on experience building and deploying agentic AI systems in production environments Deep understanding of tool-calling, function-calling, and API integration within agent workflows Proven track record with multi-agent collaboration patterns and complex reasoning chains Expertise in agent memory systems, context management, and state persistence across interactions Industry Integration Experience scaling production GenAI systems with proven track record of generating thousands of content pieces monthly Knowledge of multi-LLM orchestration and model switching strategies for optimal performance and cost efficiency Understanding of content generation workflows across social media, marketing, and business communications Familiarity with performance monitoring frameworks including regression testing and analytics dashboard integration Research & Innovation Experience with AI model interpretability and explainable AI techniques Knowledge of quantum-classical hybrid AI approaches and emerging paradigms Technical Excellence Advanced degree in Computer Science, AI, or related field (preferred) Experience building and scaling AI teams in fast-paced environments (preferred) Experience with AI ethics committees and responsible AI governance (preferred) Proven ability to drive digital transformation through AI adoption (preferred) Lead the future of GenAI innovation at BuzzBoard, where your expertise will build upon our established success in production generative AI systems. Join a first-mover organization that has already proven the enterprise value of GenAI at scale, generating thousands of content pieces monthly. Your role as Team Lead of Generative AI and LLM will position you to expand our proven AI ecosystem while defining the next generation of agentic AI solutions that drive measurable business impact. Powered by JazzHR 12dkkTUOj7 Show more Show less

Prompt Engineer – Fresher (WFH) Experience: 2+ years Location: Work from Home/Bangalore Mode of engagement: Full time No of positions: 2 Salary: 2- 5 INR LPA Educational qualifications: Engineering/CS/IT Industry: IT-ITES Notice Period: Immediate What we are looking for Proven experience as a Prompt Engineer or in a similar AI/ML, NLP, or content development role Proficiency in prompt writing, query design, and understanding of AI/ML/NLP concepts Familiarity with programming languages (such as Python) and AI tools (e.g., ChatGPT, Midjourney, DALL-E) Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Knowledge of prompt engineering techniques such as few-shot learning, chain-of-thought prompting, and constitutional AI Responsibilities: Design, develop, and refine AI-generated text prompts for various applications and industries. Collaborate with content creators, product teams, data scientists, and subject matter experts to align prompts with company objectives and user requirements. Continuously test, iterate, and optimize prompts to improve AI model accuracy, performance, and user engagement. Build and maintain a library of successful prompt templates and chains for reuse across projects. Monitor, analyze, and report on prompt performance using data analytics and defined metrics. Integrate prompts into workflows and applications to enhance productivity and efficiency. Troubleshoot, debug, and resolve issues in prompt generation and AI model responses. Stay up-to-date with advancements in AI, NLP, machine learning, and prompt engineering best practices. Provide documentation and training on prompt engineering techniques for internal teams and end users. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of Natural Language Processing (NLP) and AI models (e.g., GPT, LLaMA, Claude). Basic proficiency in Python and experience with AI tools like OpenAI API, LangChain, or Hugging Face (preferred). Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to experiment with different prompts to achieve optimal AI-generated responses. Show more Show less

Experience Required: 5+ Years Location: Remote Employment Type: Contract Compensation: Up to ₹1,70,000 per month About The Role We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role. You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks . Key Responsibilities Design, build, and maintain high-performance backend systems using Python. Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability. Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines, and other agent frameworks into scalable production environments. Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability. Build secure, efficient, and well-documented APIs that integrate with LLM services. Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency. Required Skills & Qualifications 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus. Expert-level Python programming skills. Proven experience integrating Large Language Models (LLMs) into production systems. Hands-on experience with: LangChain LangGraph RAG Pipelines Agent Frameworks Strong understanding of API design, microservices architecture, and production deployment workflows. Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines. Background in Machine Learning Engineering is a strong plus. Excellent problem-solving and debugging skills. Ability to work independently and deliver high-quality work on time. Nice To Have (Bonus Skills) Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.) Familiarity with prompt engineering and LLM fine-tuning. Experience in serverless architecture and event-driven systems. Exposure to multi-modal AI systems (text, image, audio). Why Work with AquSag Technologies? 100% remote work – flexible location. Work on cutting-edge AI projects with leading LLM companies. Join a fast-growing team at the forefront of AI integration and intelligent agent development. Potential for long-term contract extensions based on performance and project needs. Python Developer, Backend Engineer, LLM Integration, LangChain, LangGraph, RAG Pipelines, Agent Frameworks, AI Engineer, Large Language Models, Machine Learning Engineer, Remote Python Jobs, Contract Python Developer, AI Software Engineer, API Developer, Generative AI, GPT, OpenAI, Vector Databases, Prompt Engineering, ML Ops, Remote AI Engineer. Apply Now and be a part of building next-generation AI-powered systems! Show more Show less

Newlight Solutions is a global digital‑transformation firm with offices in Jaipur and New York. We design, build, and operate mission‑critical low‑code systems—across supply chain, finance, healthcare, public sector, and beyond—using Appian as our primary platform and AI components where they deliver clear value. We are hiring a Senior Appian Developer to lead full‑cycle delivery: architecture, implementation, quality assurance, and client demonstrations. You will mentor mid‑level engineers, curate development standards, and drive continuous improvement as we scale. KEY RESPONSIBILITIES Design and develop performant Appian applications—data models, process models, interfaces, Records, Sites, and role‑based security. Facilitate requirement‑gathering workshops and convert business objectives into detailed technical specifications and user stories. Prepare workload estimates, sprint plans, and resource forecasts to keep delivery predictable. Define and enforce Appian design patterns, coding standards, and naming conventions across all project artefacts. Conduct performance tuning, load‑testing, and capacity planning to ensure applications scale reliably. Maintain comprehensive technical documentation (architecture decks, release notes, runbooks) for internal teams and client stakeholders. Coordinate environment management—version control, package migration, and hot‑fix roll‑outs—in collaboration with DevOps. Manage change‑control logs, assess delivery risks, and drive remediation plans before issues escalate. Track emerging Appian features and industry trends; recommend platform upgrades or POCs that add measurable value. REQUIRED QUALIFICATIONS 5 + years of end‑to‑end Appian delivery with at least two full production go‑lives where you owned architecture and build; Level 2 certification mandatory, Level 3 strongly preferred. Deep command of the full Appian feature set—SAIL interfaces, Records, Data Fabric, Sites, Process Models, Decision Objects, and role‑based security. Integration expertise: REST/SOAP APIs, RDBMS, OAuth2 / OIDC, SAML SSO, webhooks; able to diagnose latency and security issues in distributed environments. Hands‑on development of Appian plug‑ins in Java; proficiency in Python or JavaScript for auxiliary scripts and micro‑services is a plus. Demonstrated senior developer capability—regularly conduct code reviews, mentor junior developers, and drive Agile ceremonies (refinement, sprint planning, retrospectives). Exceptional verbal and written communication skills; comfortable translating complex technical decisions into clear business impact for executive stakeholders. PREFERRED QUALIFICATIONS Experience embedding OpenAI / Azure OpenAI or AI Skills into Appian solutions. Familiarity with Mendix, Microsoft Power Platform, or micro‑services architectures. Prior technical‑lead or mentorship experience in Agile delivery teams. SUCCESS METRICS – FIRST 6 MONTHS Two production go‑lives with fewer than 1 % post‑deployment defects. Trained atleast 1 junior developer on low-code platforms. Clients explicitly request your involvement in roadmap or enhancement sessions. BENEFITS & WORKING ENVIRONMENT Compensation aligned with top‑quartile India / global‑remote benchmarks. Annual professional‑development allowance (training or certifications). Technology stipend for preferred hardware and home‑office setup. Flexible, results‑oriented schedule within a distributed‑team model. Opportunities to work on diverse, high‑impact projects across industries and geographies. ABOUT NEWLIGHT SOLUTIONS Newlight Solutions is a founder‑led digital‑transformation firm specialising in AI‑driven hyperautomation, Appian low‑code delivery, and next‑generation RPA. We transform complex, fragmented processes into secure, seamless digital experiences—and we value technical excellence, transparent communication, and measurable results. HOW TO APPLY Click Easy Apply to submit your résumé. Prefer to showcase your work? Email a brief demo video or portfolio to info@newlightsolutionsgroup.com. We respond to every qualified applicant within 72 hours. Show more Show less

Requisition ID: 7155 Location: Thane, MH, IN, 400604 Business Unit / Group Function: Information Technology Work Arrangement: Onsite Level of Experience: Intermediate Contract Type: Regular If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights Design, implement, and manage robust development and CI/CD pipelines for Generative AI application using frameworks like LangChain, LangGraph. Integrate LLMs (e.g., Azure OpenAI) into production-grade systems. Follow best practices across all stages of the SDLC including requirements, design, coding, testing, and deployment. Collaborate with cross-functional teams including ML engineers, DevOps, and product managers. Maintain documentation, unit tests, and code reviews for robustness and maintainability. Requirements Specific Education - Engineering / Graduate in Computer Science or relevant field of studies. Work Experience - 3 to 5 years. Special Skills - Python, LangChain, LangGraph, CoPilot Studio. RAG (Retrieval-Augmented Generation). Docker, Git/GitHub/GitLab, REST APIs, Fast API. Vector databases (e.g., Pinecone, Chroma, FAISS). Azure AI Foundry. What We Offer You Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life & Flexibility: We support you in maintaining a balance between working hours and personal life. With our global “Xwork” program, we offer flexible working arrangements in all countries in which we operate. Training & Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team! Show more Show less

Location: Remote / New Delhi (preferred) Type: Full-time | Early-stage | Equity + Salary Who we are: Nueton.ai is building the AI-native CRM and business OS that small and mid-sized teams always wanted—but never thought they could afford. We’re replacing the clunky SaaS sprawl (Salesforce, Zendesk, QuickBooks, etc.) with a unified, modular platform that’s fast, extensible, and powered by GPT-4o + LangGraph agents. Think: Notion-level simplicity meets enterprise-grade power. We’re backed by early believers and in conversations with global funds. 🎯 What you’ll do: Work directly with the founder to ship production-grade software across the stack (React, Node, PostgreSQL, Azure, LangChain, etc.) Own and scale core modules (CRM, invoicing, support desk, contracts, and more). Help design and implement our AI orchestration layer (LangGraph agents, embedding pipelines, semantic search). Shape our codebase architecture, developer experience, and long-term tech culture. Collaborate on product decisions, speak directly to users, and iterate fast. 👤 You might be a fit if you: Are a full-stack engineer (frontend-leaning or backend-leaning, both welcome) with 6 –7 years experience or equivalent ability. Have shipped real products end-to-end, ideally in a startup or solo-builder setting. Are fluent in TypeScript, React, and backend services (Node, tRPC, Fastify/Express). Understand AI tooling (OpenAI APIs, LangChain, embeddings, or RAG systems). Know how to write clean, scalable, and well-tested code. Are excited by zero-to-one environments—lots of ambiguity, ownership, and creative freedom. Are India-based (preferred), but timezone-aligned remote engineers are welcome too. 💡 Bonus points for: DevOps experience (Terraform, Kubernetes, GitHub Actions, Azure, AWS). Prior experience with multi-tenant SaaS or CRM systems. Building SDKs, plugin architectures, or internal dev tools. Strong product/design sense—someone who sweats the details. 🧱 Why join now? Work on a serious technical challenge with massive market upside. Shape the company’s culture, roadmap, and tech stack from day one. Earn meaningful equity. This is a true founding-level opportunity. Collaborate with a solo founder who’s shipped the first version alone and is now ready to scale with a high-trust team. Want to help us rethink the operating system for modern business? Email us at info@nueton.ai or DM the founder directly. Let’s build Nueton together. Show more Show less

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound  🛠️ What you’ll do Build and scale our AI evaluation engine. Use OpenAI / Claude / LLaMA + RAG + embeddings to grade candidate answers in real time. Work on core APIs, background jobs, async pipelines, and performance tuning. Deploy models to production with real users — 1000s of developers a week. Collaborate directly with founders, move fast, and iterate weekly. 🧩 Why this is special You won’t be stuck in a research team or just writing wrappers. You’ll ship real AI to prod, every week. You’ll own large parts of the backend + ML evaluation stack. You’ll get a front-row seat to building an AI-native product used by top Indian startups. We’re a tight, product-obsessed team — no middle managers, just real builders. ✅ You’ll do great if you: Have 1+ years experience in backend development (Node.js, Python, Golang, etc.) Have shipped something with OpenAI, LangChain, or other LLM tools. Are curious about RAG, prompt design, vector DBs, and AI grading at scale. Care about writing clean code, automating workflows, and building robust systems. Want to go deep in both backend and AI — and learn fast. ⚡ Bonus if you: Have experience with background jobs, Redis, Postgres, and async pipelines. Know how to evaluate and tune LLM outputs. Have built side projects that combine code + AI in creative ways. Show more Show less

🌐 n8n Automation Specialist (Project-Based / Remote) Help us eliminate manual chaos and build seamless automations across e-commerce, operations, and customer support at LYFE Hardware. Committment - Project-Based with an opportunity for long term collaboration 🧭 About LYFE Lyfe Hardware is an e-commerce brand focused on designing intelligent shelving systems and functional décor for modern living spaces. We operate at the intersection of home decor and home improvement, offering thoughtfully engineered products that enhance utility and aesthetics. As we scale our operations and product offerings, we’re investing in robust backend systems to support growth, automation, and cross-functional collaboration. 🛠️ What You’ll Do As Our N8n Specialist, You’ll Audit and migrate fragile Zapier workflows into robust n8n pipelines Design & build low-code automations across: eCommerce channels (Shopify, Etsy, Amazon MWS, Wayfair EDI) Gorgias, Slack, Asana, Google Sheets ERPNext, Buffer, Stripe, and more Handle credential management, OAuth, API rate limits, and retries Automate key workflows like order processing, inventory updates, shipment tracking, and customer alerts Monitor and maintain error-free flows (≤1% failure rate) Train our team (non-technical ops + support) to monitor and manage workflows Gradually implement AI-powered automations using OpenAI, scraping, and custom logic (e.g., resume screening, lead enrichment, follow-up emails) ⚙️ What We’re Looking For Must-Haves 2+ years working with n8n in production environments Proven experience automating eCommerce workflows — from order ingestion to fulfillment, ticketing, alerts, and reporting Comfort deploying and managing n8n (preferably via Docker) Strong grasp of APIs: REST, OAuth, webhooks, and data transformation Proficient in writing JavaScript in Function nodes Portfolio of at least 10 workflows across platforms like Shopify, Slack, Asana, Google Sheets, etc. Great documentation habits and async communication skills Nice-to-Haves AI automation experience (OpenAI nodes, chatbot flows, trend detection) Familiarity with ERPNext or warehouse/inventory automations Built flows that scale: 1,000+ events/day, with retry logic and observability ⏱️ Logistics Engagement: Part-time or project-based, remote Start: ASAP — we’re already deep in automation debt Timezone: Flexible, but overlap with IST preferred for check-ins Skills: webhooks,artificial intelligence,collaboration,rest,api management,integration,asana,oauth,commerce,javascript,e-commerce,n8n,project,ai,docker,ecommerce automation,automation Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving discussions and contribute to the overall success of the projects by leveraging your expertise in application development. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application specifications and requirements. - Collaborate with cross-functional teams to ensure seamless integration of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service. - Good To Have Skills: Experience with cloud computing platforms and services. - Strong understanding of application development methodologies. - Familiarity with programming languages relevant to application development. - Experience in troubleshooting and debugging applications. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Azure OpenAI Service. - This position is based at our Chennai office. - A 15 years full time education is required. Show more Show less

We are seeking a Full Stack Python Developer with strong experience in both frontend and backend development, and deep familiarity with Azure Cloud and serverless architecture. In this full-time role, you’ll build modern, scalable web applications and services using Python, JavaScript frameworks, and Azure-native tools. You’ll work cross-functionally to develop secure, performant, and user-friendly applications that run entirely in the cloud. Job Description: Responsibilities : Develop end-to-end web applications using Python for the backend and React / JavaScript for the frontend. Design, build, and deploy serverless applications on Microsoft Azure using services like: Azure Functions Azure API Management Azure Blob Storage Azure Cosmos DB / Mongo DB Strong experience with using Python Runtime inside Azure Functions, and building serverless functions using the Python v2 programming model and Azure Blueprints. Use Blueprints to define and register new Azure Functions Use Python Modules and an Object-Oriented Programming model to modularize function definition and implementation Build and maintain RESTful APIs, microservices, and integrations with third-party services. Work closely with designers, PMs, and QA to deliver high-quality, user-centric applications. Optimize applications for performance, scalability, and cost-efficiency on Azure. Implement DevOps practices using CI/CD pipelines. Write clean, modular, and well-documented code, following best practices and secure coding guidelines. Participate in sprint planning, code reviews, and agile ceremonies. Required Skills (Must Have): 3–5 years of professional experience in full stack development. Strong proficiency in Object-Orriented Python, with frameworks like FastAPI, Flask, or Django. Solid experience with frontend frameworks such as React.js, or similar. Proven experience with Azure Serverless Architecture, including: Azure Functions Azure API Management Azure Storage & Cosmos DB Understanding of event-driven architecture, and asynchronous APIs in Azure. Experience working with Azure Serverless functions including Durable Functions within Azure Experience with API integrations, secure data handling, and cloud-native development. Proficient in working with Git, Agile methodologies, and software development best practices. Ability to design and develop scalable and efficient applications. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with Azure App Service, Azure Key Vault, Application Insights, and Azure Monitor for observability and secure deployments. Familiarity with authentication and authorization mechanisms, such as Azure Active Directory (Azure AD), OAuth2, and JWT. Exposure to containerization technologies including Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS). Understanding of cost optimization, resilience, and security best practices in cloud-native and serverless applications. Knowledge of integration with Azure OpenAI service and working with LLM models inside Azure apps Knowledge of LLM frameworks such as LangChain, LlamaIndex, and experience in building intelligent solutions using AI agents and orchestration frameworks. Awareness of modern AI application architecture, including Retrieval-Augmented Generation (RAG) and semantic search. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Strong understanding of building cloud-native applications in a serverless ecosystem. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We are seeking a Full Stack Python Developer with strong experience in both frontend and backend development, and deep familiarity with Azure Cloud and serverless architecture. In this full-time role, you’ll build modern, scalable web applications and services using Python, JavaScript frameworks, and Azure-native tools. You’ll work cross-functionally to develop secure, performant, and user-friendly applications that run entirely in the cloud. Job Description: Responsibilities : Develop end-to-end web applications using Python for the backend and React / JavaScript for the frontend. Design, build, and deploy serverless applications on Microsoft Azure using services like: Azure Functions Azure API Management Azure Blob Storage Azure Cosmos DB / Mongo DB Strong experience with using Python Runtime inside Azure Functions, and building serverless functions using the Python v2 programming model and Azure Blueprints. Use Blueprints to define and register new Azure Functions Use Python Modules and an Object-Oriented Programming model to modularize function definition and implementation Build and maintain RESTful APIs, microservices, and integrations with third-party services. Work closely with designers, PMs, and QA to deliver high-quality, user-centric applications. Optimize applications for performance, scalability, and cost-efficiency on Azure. Implement DevOps practices using CI/CD pipelines. Write clean, modular, and well-documented code, following best practices and secure coding guidelines. Participate in sprint planning, code reviews, and agile ceremonies. Required Skills (Must Have): 3–5 years of professional experience in full stack development. Strong proficiency in Object-Orriented Python, with frameworks like FastAPI, Flask, or Django. Solid experience with frontend frameworks such as React.js, or similar. Proven experience with Azure Serverless Architecture, including: Azure Functions Azure API Management Azure Storage & Cosmos DB Understanding of event-driven architecture, and asynchronous APIs in Azure. Experience working with Azure Serverless functions including Durable Functions within Azure Experience with API integrations, secure data handling, and cloud-native development. Proficient in working with Git, Agile methodologies, and software development best practices. Ability to design and develop scalable and efficient applications. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with Azure App Service, Azure Key Vault, Application Insights, and Azure Monitor for observability and secure deployments. Familiarity with authentication and authorization mechanisms, such as Azure Active Directory (Azure AD), OAuth2, and JWT. Exposure to containerization technologies including Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS). Understanding of cost optimization, resilience, and security best practices in cloud-native and serverless applications. Knowledge of integration with Azure OpenAI service and working with LLM models inside Azure apps Knowledge of LLM frameworks such as LangChain, LlamaIndex, and experience in building intelligent solutions using AI agents and orchestration frameworks. Awareness of modern AI application architecture, including Retrieval-Augmented Generation (RAG) and semantic search. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Strong understanding of building cloud-native applications in a serverless ecosystem. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Job Description Passionate about building impactful AI applications using LLMs to drive business innovation? Are you a fast learner who is fascinated by technology? Join Our AI Application Data Engineer Team Our team uses AI to develop applications optimizing business processes, enhancing efficiency, and boosting organizational productivity. By utilizing large language models and scalable systems, we deliver solutions enabling smarter work and informed decisions. Partner with the best As a Senior Data Engineer II, develop impactful AI solutions using LLMs and scalable systems for success. As a Data Engineer Senior II, you will be responsible for: Collaborating with stakeholders to understand processes and developing AI solutions delivering measurable value. Designing, building, and implementing scalable AI solutions using Python, LLMs, and Vector Databases for businesses. Developing Python backend systems, APIs, and data pipelines to integrate AI solutions into business infrastructure. Refining AI solutions based on performance, feedback, business needs; staying updated on AI advancements. Collaborating with PMs, data engineers, analysts, and stakeholders to ensure aligned and impactful solution delivery. Do What You Love To be successful in this role you will: Demonstrate 8 years extensive experience designing, building, and deploying scalable backend or AI/ML systems, enterprise-grade. Utilise Python for scalable backend or ML applications using libraries like Pandas, FastAPI, Flask. Utilise LLMs integration expertise, including prompt engineering and API utilisation with platforms like OpenAI, LLaMA. Have experience with Vector Databases (e.g., Pinecone, Weaviate, Azure AI Search) for RAG, semantic search, etc. Demonstrate analytical, problem-solving, communication, and collaboration abilities effectively. Demonstrate experience with Azure services (compute, storage, AI/ML) as a valuable asset. Work in a way that works for you FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply. Learn what makes Akamai a great place to work Connect with us on social and see what life at Akamai is like! We power and protect life online, by solving the toughest challenges, together. At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here. Working for you Benefits At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life: Your health Your finances Your family Your time at work Your time pursuing other endeavors Our benefit plan options are designed to meet your individual needs and budget, both today and in the future. About Us Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away. Join us Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you! Show more Show less

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

🧠 Python Developer – AI & Backend Systems 📍 Location: Noida Sector-62 (Initial 2–3 months at Patel Nagar, New Delhi) 🕒 Type: Full-Time | On-Site 💡 Tech Stack (Must Have): Python, Flask/Django, REST APIs, LLMs, OpenAI, Vector DBs, React.js, Azure 🚀 About Us At TechCarrel LLP, we engineer intelligent digital products that power businesses across the globe. With over a decade of expertise in software, mobile apps, DevOps, and AI, we combine cutting-edge technologies with client-first thinking to deliver scalable, future-ready solutions. 👩‍💻 What You’ll Do Build robust Flask/Django backend systems from scratch Create, test, and scale RESTful APIs for real-world AI applications Integrate and fine-tune LLMs (OpenAI, Hugging Face) for smart automation Work with Vector Databases (FAISS, Chroma, Pinecone) for RAG and search Build intelligent chatbots and backend logic that powers them Collaborate with the React.js frontend team for end-to-end delivery Deploy apps on Azure with confidence (Docker, CI/CD knowledge a bonus) Use Python’s best libraries—not reinvent wheels, but make them race Pick up new tools fast and apply them fearlessly in live environments ✅ You Should Have 3+ years of experience in Python, with strong skills in Flask/Django Solid grip on OOPs, DSA, and basic ML/AI principles Experience integrating LLMs, OpenAI APIs, or transformers Built or contributed to chatbot or NLP-heavy backend systems Understanding of Vector DBs and their role in GenAI pipelines Familiar with React.js, SQL/NoSQL, and Python ecosystem (e.g., Pydantic, LangChain, Celery, etc.) Comfort with Azure deployment and app lifecycle management 🌟 Bonus Points For Hands-on with LangChain, CrewAI, LangGraph, or RAG systems Familiarity with Docker, Kubernetes, or Azure App Services Open-source contributions or AI project showcases 🤝 Why Join Us Work on next-gen AI systems that have real impact Small team = big ownership + faster learning Be a core part of a product-first engineering culture We love fast learners who thrive on curiosity + code Show more Show less

Job Description We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. Natural Abilities • Smart, self-motivated, responsible and out of the box thinker. • Detail oriented and powerful analyzer. • Great writing communication skills. Requirements • 5+ years of total software development experience with a strong foundation in Python. • 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. • Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc • Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. • Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). • Exposure to agent frameworks and multi-agent orchestration. • Excellent written and verbal communication skills • Proven ability to lead and mentor team members on technical and architectural decisions. Responsibilities • Lead the design and development of GenAI/LLM-based products and solutions. • Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. • Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. • Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc • Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. • Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. • Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Show more Show less

We are an award-winning multinational professional legal services firm that provides enterprise legal solutions to global corporations and law firms located on four continents. Our unique services include review, management, and analysis for document-intensive legal matters. We use world-class process management, quality control, and technologies that enable us to deliver measurably better services and results for our clients. We are seeking an energetic, goal-oriented, and intellectually curious Generative AI professional with 4 - 9 years of experience who is interested in working collaboratively with our clients and team members. You will be part of a global team that supports an approximately 350-user group. Responsibilities Designing, developing, and deploying Generative AI models to solve business challenges. Training and fine-tuning AI systems, including custom language models and generative models. Leveraging cloud platforms (Azure) to scale and deploy AI solutions effectively. Collaborating with cross-functional teams to integrate AI functionalities into applications. Staying updated on AI advancements and incorporating innovative solutions into the firm's operations. Documenting processes, models, and solutions. Technical Skills Minimum 3 years of experience with Generative AI frameworks and tools (e.g., AI Foundry, Copilot Agents, Azure Assistant and OpenAI). Proficiency in machine learning and AI development, including fine-tuning large language models (Claude LLMs). Strong knowledge of Python and its AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience with Azure AI services, including Azure OpenAI or Cognitive Services. Hands-on experience in web application development (REST APIs, HTTP, web services). Knowledge of modern JavaScript frameworks like React, TypeScript, or Blazor is a plus. Experience with containerisation tools like Docker and version control systems like Azure DevOps. Microsoft Certifications (e.g., Azure AI Engineer) are a plus. Qualifications Bachelor's degree in Computer Science, AI, Data Science, or a related field. A passion for innovation and staying updated on the latest trends in AI and machine learning. Good problem solving skills and a collaborative mindset with the ability to work in a diverse and dynamic team environment. Our culture empowers our team members with respect, autonomy, transparency, and opportunity in a growth-oriented environment. We are an equal-opportunity employer fostering an inclusive and supportive culture. Show more Show less

GEN AI Architect Job Summary: We are seeking a highly skilled and experienced GEN AI Architect to lead the design, development, and deployment of generative AI solutions. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record in building and implementing AI models and systems. This role requires a strategic thinker who can align AI initiatives with business goals and drive innovation across the organization. Key Responsibilities: Architecture Design : Design and develop scalable, robust, and secure AI architectures for various applications, ensuring alignment with business objectives. Model Development : Lead the development and optimization of generative AI models, including but not limited to natural language processing (NLP), computer vision, and generative adversarial networks (GANs). Technology Strategy : Develop and implement AI strategies that leverage the latest advancements in generative AI technologies to drive business value. Project Management : Oversee AI projects from conception to deployment, ensuring timely delivery and integration with existing systems. Collaboration : Work closely with data scientists, engineers, and business stakeholders to identify AI opportunities and translate them into technical solutions. Research and Innovation : Stay up-to-date with the latest research and trends in generative AI, and apply new findings to enhance existing models and develop new applications. Mentorship : Provide guidance and mentorship to junior AI engineers and data scientists, fostering a culture of learning and innovation within the team. Performance Monitoring : Establish metrics and processes to monitor the performance and effectiveness of AI models, ensuring continuous improvement and optimization. Compliance and Ethics : Ensure AI solutions comply with relevant regulations and ethical standards, maintaining transparency and accountability in AI decision-making. Qualifications: Education : Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience : Minimum of 12-16 years of experience in AI and machine learning, with at least 3 years in a leadership or architect role. Technical Skills : Proficiency in programming languages such as Python, Java Extensive experience with machine learning frameworks (Langchain,TensorFlow, PyTorch, Keras) and AI tools (OpenAI GPT, DALL-E, etc.). Strong understanding of deep learning techniques, including CNNs, RNNs, and GANs. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Analytical Skills : Strong problem-solving skills with the ability to analyze complex data sets and extract meaningful insights. Communication Skills : Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. Leadership Skills : Proven ability to lead and inspire a team, driving innovation and achieving business objectives. Show more Show less

🚀 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 The Role We are setting up our AI department at go4WorldBusiness to build next-generation, AI-powered products that transform how global businesses connect. We’re looking for exceptionally smart, fast learners with strong programming skills and excellent communication to join our team as AI Engineers. You don’t need to be an AI expert (yet!) — we’ll teach you that. What we need is someone with curiosity, clarity of thought, and an eagerness to work on the cutting edge of technology. If you enjoy problem-solving, writing clean code, and can communicate your ideas clearly, you’ll fit right in. Position : AI Engineer Experience : 1–3 years of hands-on experience in software development (Python preferred) What You’ll Do Most Of The Time Work closely with our AI team to build and ship internal tools and user-facing features powered by large language models and other AI technologies. Experiment with prompt engineering and refine interactions with AI models to drive business outcomes. Collaborate with cross-functional teams to define AI product features and deliver solutions that solve real-world problems. Learn and apply the latest AI and machine learning techniques to build scalable and impactful systems. Continuously prototype, test, and improve solutions based on business feedback. Communicate progress, blockers, and insights proactively to peers and stakeholders. Stay curious and up-to-date with developments in AI, programming, and product development. What You’ll Need To Qualify Strong communication and critical thinking skills — you're comfortable articulating technical and non-technical ideas clearly. Proficiency in one modern programming language (preferably Python). Ability to write clean, maintainable code and quickly understand new codebases. A proven track record of learning fast and solving hard problems — whether through academic projects, side gigs, or work experience. Bachelor's degree in Computer Science, Engineering, or a related field. Preferred Skills You don’t need to know all of these — but be excited to learn what you don’t: Experience using Python libraries for data processing (e.g., Pandas, NumPy) Familiarity with OpenAI, LangChain, or similar LLM-based tools Exposure to web development frameworks (Flask, FastAPI, etc.) Understanding of REST APIs and how to integrate them Interest in data science, ML pipelines, or vector databases Prior work or projects involving chatbots, recommendation systems, or automation Other Must-Have Skills Excellent communication and time management Attention to detail and ability to troubleshoot creatively Clear thinking and structured problem-solving Drive to meet deadlines and deliver high-quality work What You’ll Get Opportunity to be part of an AI team working on game-changing tools and products Hands-on mentorship and growth into advanced AI concepts and tools 5-day work week Annual loyalty bonus Six-monthly profit sharing bonus PF and Gratuity About The Company go4WorldBusiness is revolutionizing the international B2B import-export industry. If you’re excited about working at the intersection of AI and global trade, and want to build products used by millions, this is your chance. We offer industry-best salaries and perks, including annual loyalty and six-monthly profit sharing bonuses. If you’re smart, driven, and looking to work on AI that matters — apply now! Show more Show less

Who we are We're a leading, global security authority that's disrupting our own category. Our encryption is trusted by the major ecommerce brands, the world's largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. That's digital trust for the real world. Job summary We are seeking to hire a Software Engineering Manager based in our Bengaluru, India office. As a Software Engineering Manager, you will lead a team of software engineers to design, develop, test, and deliver high-quality software solutions. This role requires a balance of technical expertise, leadership skills, and project management capabilities to ensure the successful execution of software development projects. What you will do Lead, mentor, and motivate a team of software engineers. Foster a positive and collaborative team culture. Provide guidance on technical issues and contribute to skill development within the team. Collaborate with cross-functional teams to gather requirements and define technical solutions. Ensure the team follows best practices in software development, coding standards, and testing methodologies. Implement and enforce quality assurance processes to ensure the delivery of reliable and scalable software solutions. Stay updated on industry best practices and emerging technologies. Promote technical and operational achievement by developing measurements and methods for evaluation and advancement. Communicate effectively with stakeholders, including product managers, other engineering teams, and upper management. What you will have Bachelor’s degree in Computer Science, Software Engineering, or a related field. Proven experience (10+ years) in software development and team management. Proficiency in one or more programming languages (Java, Go, Python) and a strong grasp of software development principles. Knowledge of both relational (MySQL, MariaDB) and NoSQL/non-relational (Cassandra) databases. Familiarity with agile software-development methodology, such as Agile or Scrum. Preferred knowledge of PKI infrastructure. Preferred experience working with Cryptography API. Preferred experience with Git, JIRA, IDEs (Eclipse, MS Visual Studio). Nice to have Experience in GenAI product development, with a focus on RAG (Retrieval-Augmented Generation) techniques and exposure building and integrating AI agents. Experience in LLMs (GPT-4, LLaMA, etc.) Knowledge in TensorFlow, PyTorch, LangChain, OpenAI APIs, and NLP libraries. Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools. Experience in Data analytics, Datawarehouse and Datalake tools. Experience with any of the cloud computing platforms (AWS, Azure, Google Cloud, Oracle OCI) is a plus. Develop, fine-tune and deploy LLM-based solutions. Benefits Generous time off policies Top shelf benefits Education, wellness and lifestyle support __PRESENT Show more Show less

Job Title: Data Scientist Job Type: Full-time, Contractor Job Summary: We are seeking an innovative and highly skilled Data Scientist to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less