658 Mistral Jobs - Page 16

About the Role You’ll join a small, fast team turning cutting-edge AI research into shippable products across text, vision, and multimodal domains. One sprint you’ll be distilling an LLM for WhatsApp chat-ops; the next you’ll be converting CAD drawings to BOM stories, or training a computer-vision model that flags onsite safety risks. You own the model life-cycle end-to-end: data prep ➞ fine-tune/distil ➞ evaluate ➞ deploy ➞ monitor. Key Responsibilities Model Engineering • Fine-tune and quantise open-weight LLMs (Llama 3, Mistral, Gemma) and SLMs for low-latency edge inference. • Train or adapt computer-vision models (YOLO, Segment Anything, SAM-DINO) to detect site hazards, drawings anomalies, or asset states. Multimodal Pipelines • Build retrieval-augmented-generation (RAG) stacks: loaders → vector DB (FAISS / OpenSearch) → ranking prompts. • Combine vision + language outputs into single “scene → story” responses for dashboards and WhatsApp bots. Serving & MLOps • Package models as Docker images, SageMaker endpoints, or ONNX edge bundles; expose FastAPI/GRPC handlers with auth, rate-limit, telemetry. • Automate CI/CD: GitHub Actions → Terraform → blue-green deploys. Evaluation & Guardrails • Design automatic eval harnesses (BLEU, BERTScore, CLIP similarity, toxicity & bias checks). • Monitor drift, hallucination, latency; implement rollback triggers. Enablement & Storytelling • Write prompt playbooks & model cards so other teams can reuse your work. • Run internal workshops: “From design drawing to narrative” / “LLM safety by example”. Required Skills & Experience 3+ yrs ML/NLP/CV in production; at least 1 yr hands-on with Generative AI . Strong Python (FastAPI, Pydantic, asyncio) and HuggingFace Transformers OR diffusers . Experience with minima­l-footprint models (LoRA, QLoRA, GGUF, INT-4) and vector search. Comfortable on AWS/GCP/Azure for GPU instances, serverless endpoints, IaC. Solid grasp of evaluation/guardrail frameworks (Helm, PromptLayer, Guardrails-AI, Triton metrics). Bonus Points Built a RAG or function-calling agent used by 500+ users. Prior CV pipeline (object-detection, segmentation) or speech-to-text real-time project. Live examples of creative prompt engineering or story-generation. Familiarity with LangChain, LlamaIndex, or BentoML. Why You’ll Love It Multidomain playground – text, vision, storytelling, decision-support. Tech freedom – pick the right model & stack; justify it; ship it. Remote-first – work anywhere ±4 hrs of IST; quarterly hack-weeks in Hyderabad. Top-quartile pay – base + milestone bonus + conference stipend. How to Apply Send a resume and link to GitHub / HF / Kaggle showcasing LLM or CV work. Include a 200-word note describing your favourite prompt or model tweak and the impact it had. Short-listed candidates complete a practical take-home (fine-tune tiny model, build RAG or vision demo, brief write-up) and a 45-min technical chat. We hire builders, not resume keywords. Show us you can ship AI that works in the real world—and explain it clearly—and you’re in. Show more Show less

Are you an AI virtuoso ready to push the boundaries of what's possible with Large Language Models? At Trilogy, we're not just riding the AI wave – we're creating the swells that transform how businesses operate. We're seeking a visionary AI Engineer who sees beyond the code to orchestrate revolutionary productivity solutions. While others are still debating AI's potential, we're already harnessing its power to create tangible business impact. Here, you'll be at the forefront of practical AI implementation, crafting intelligent solutions that turn complex challenges into streamlined processes. This isn't your typical tech role where innovation gets lost in red tape. At Trilogy, your AI expertise will directly shape the future of workplace productivity, as you architect solutions that make the impossible possible. Every day, you'll witness how your creations revolutionize business operations and amplify human potential. If you're ready to be the architect of change in the AI revolution, we want to hear from you! What You Will Be Doing Pioneer cutting-edge AI automation systems that transform complex business processes into elegant, efficient solutions Drive innovation through hands-on experimentation with advanced AI tools, including GPT-4 Vision and Amazon CodeWhisperer, shaping the future of development practices Architect and optimize AI implementations across AWS infrastructure, ensuring robust, scalable, and seamlessly integrated solutions What You Won’t Be Doing Wrestling with conventional coding paradigms - our AI ecosystem empowers you to focus on strategic innovation Getting trapped in monotonous work cycles - each challenge brings fresh opportunities for creative problem-solving Artificial Intelligence Engineer Key Responsibilities Lead the design and implementation of autonomous AI systems that operate with complete independence, creating scalable solutions that transform business operations without human intervention Basic Requirements Demonstrated commitment to an AI-first approach (candidates who view AI as an afterthought rather than the primary solution driver need not apply) 5+ years of professional experience in technology Strong command of Python programming and AWS cloud infrastructure Hands-on experience with modern GenAI development tools (Github Copilot, Cursor.sh, v0.dev) Proven track record of delivering impactful Generative AI solutions with measurable business results Extensive experience integrating various LLM APIs (GPT, Claude, Mistral) to address real-world 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-ArtificialInte.012 Show more Show less

Transform the Future of Work with LLMs at Trilogy Are you a visionary who sees beyond AI hype to real-world applications? Trilogy is seeking exceptional talent who can harness the true power of Large Language Models to revolutionize productivity. Unlike companies caught in the endless cycle of AI buzzwords, we're building tangible solutions that transform how businesses operate. Join us to architect AI-powered systems that don't just incrementally improve workflows—they fundamentally reimagine them. At Trilogy, your innovations won't languish in development purgatory. Instead, you'll witness your creations directly impact businesses, streamline complex processes, and amplify human potential. This rare opportunity puts you at the forefront of practical AI implementation, where your expertise in LLMs becomes the catalyst for industry-wide transformation. If you're ready to move beyond theory to create AI solutions with measurable impact, we want to talk to you. What You Will Be Doing Pioneer cutting-edge AI automations that elevate productivity across diverse business environments, focusing on creating solutions that are both innovative and enterprise-ready Push boundaries with next-generation AI technologies including GPT-4 Vision and Amazon CodeWhisperer, integrating and evaluating these tools to maximize their business value Architect and optimize AI implementations across AWS infrastructure, ensuring our solutions deliver exceptional performance while maintaining scalability What You Won’t Be Doing Writing conventional code from scratch—our approach leverages AI to handle programming fundamentals, allowing you to focus on strategic innovation and problem-solving Engaging in monotonous work cycles—each challenge you'll tackle presents unique complexities that demand creative thinking and novel approaches Machine Learning Engineer Key Responsibilities Create and implement fully autonomous AI ecosystems that operate independently of human oversight, delivering transformative business value through truly scalable automation solutions Basic Requirements Demonstrated AI-First approach to problem-solving (candidates who view AI as merely an enhancement to traditional coding rather than the primary solution pathway should not apply) Minimum 5 years of professional experience in relevant technical roles Strong Python programming capabilities and comprehensive AWS knowledge Hands-on experience with modern GenAI development tools such as Github Copilot, Cursor.sh, or v0.dev Proven track record of successfully deploying Generative AI solutions with measurable business impact Extensive experience interfacing with various LLM platforms (GPT, Claude, Mistral, etc.) via their APIs 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-Vadodara-MachineLearnin.016 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 Python Developer 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-Ahmedaba-PythonDevelope.010 Show more Show less

Job Description: The AI/ML engineer role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles. Skills you'll need to bring: Experience building production-quality ML and AI systems. Experience in MLOps and real-time ML and LLM model deployment and evaluation. Experience with RAG frameworks and Agentic workflows valuable. Proven experience deploying and monitoring large language models (e.g., Llama, Mistral, etc.). Improve evaluation accuracy and relevancy using creative, cutting-edge techniques from both industry and new research Solid understanding of real-time data processing and monitoring tools for model drift and data validation. Knowledge of observability best practices specific to LLM outputs, including semantic similarity, compliance, and output quality. Strong programming skills in Python and familiarity with API-based model serving. Experience with LLM management and optimization platforms (e.g., LangChain, Hugging Face). Familiarity with data engineering pipelines for real-time input-output logging and analysis. Qualifications: Experience working with common AI-related models, frameworks and toolsets like LLMs, Vector Databases, NLP, prompt engineering and agent architectures. Experience in building AI and ML solutions. Strong software engineering skills for the rapid and accurate development of AI models and systems. Prominent in programming language like Python. Hands-on experience with technologies like Databricks, and Delta Tables. Broad understanding of data engineering (SQL, NoSQL, Big Data), Agile, UX, Cloud, software architecture, and ModelOps/MLOps. Experience in CI/CD and testing, with experience building container-based stand-alone applications using tools like GitHub, Jenkins, Docker and Kubernetes Responsibilities: Participate in research and innovation of data science projects that have impact to our products and customers globally. Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production. Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code. Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models. About Company Improva is a global IT solution provider and outsourcing company with contributions across several domains including FinTech, Healthcare, Insurance, Airline, Ecommerce & Retail, Logistics, Education, Insurance, Startups, Government & Semi-Government, and more. Show more Show less

We are looking for a motivated and curious Generative AI Engineer (Junior to Mid-Level) to join our growing Generative AI team. In this role, you’ll work closely with senior engineers to help develop and deploy cutting-edge generative AI systems across real business use cases. You'll contribute to solutions that integrate large language models (LLMs), embeddings, vector databases, and GenAI development frameworks. This is a hands-on role that offers the opportunity to work with production-grade GenAI technologies, grow your skill set, and have a real impact on user-facing AI features. Role and Responsibilities Typical duties and responsibilities for Gen-AI engineer position may include but not limited to: Support the fine-tuning, deployment, and integration of large language models (LLMs) and other generative models (e.g., GPT, Mistral). Build and maintain retrieval-augmented generation (RAG) pipelines using embeddings and vector databases like FAISS, Pinecone, or Chroma. Contribute to prompt engineering, schema design, and function calling logic to guide LLM behavior in production workflows. Work with GenAI development frameworks to build, orchestrate, route, and serve GenAI-powered features, workflows, and agents. Stay up to date with the latest advancements in generative AI, prompt tooling, and language model APIs. Participate in experiments exploring new architectures, model capabilities, and prompting techniques. Help evaluate model behaviors and document findings to support continual improvement. Work under the guidance of senior AI engineers and participate in code reviews, design discussions, and technical planning. Take ownership of well-scoped components and contribute to production releases. Embrace a learning-first environment and help foster a collaborative, transparent team culture. Collaborate with cross-functional teams (engineering, product, design) to deliver user-facing GenAI features. Implement backend APIs and services powered by LLMs, including local and cloud-hosted models. Support LLM observability efforts to track pipelines’ execution, logs, LLM calls, performance, latency, and failure cases. Assist in evaluating and mitigating bias, hallucination, and safety risks in generative AI systems. Ensure that outputs and user-facing AI behavior follow responsible AI principles and privacy standards. Knowledge sharing and culture building as we work in team structure, it is very essential to have the spirit of sharing the knowledge. Keep aligned with our team(s) coding and design standards. Ability to communicate and work well with others. Ability to deliver on time keeping a high quality of work. To quickly become an expert in our tech stack, specifically the systems relating to your role. Requesting training when required. Check in with your line manager and update on your progress. Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience). 2+ years of experience in software development or applied machine learning (including internships, research, or open-source contributions). Proven hands-on experience working with LLM APIs Practical exposure to embeddings , vector databases , and RAG workflows. Experience using core frameworks such as LangChain , LangGraph , LiteLLM , or Ollama . Proficiency in Python and familiarity with AI/ML libraries such as Hugging Face Transformers or PyTorch. Understanding of prompt engineering, output parsing, and function/tool calling with LLMs. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and semantic retrieval techniques. Basic understanding of structured outputs using Pydantic or JSON schema. Experience with LLM observability tools like LangSmith , LangFuse , Opik , etc.. Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.) Experience building or contributing to agentic workflows, multi-step LLM tools, or stateful AI agents is a Plus. Awareness of ethical AI challenges, bias mitigation, and model evaluation techniques is a Plus. Contributions to open-source AI projects or technical writing in the GenAI space is a Plus. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Excellent verbal and written English communication skills. High attention to detail, curiosity, and willingness to experiment and learn. Show more Show less

We are looking for AI-Project manager who have good experience in market intelligence firm specializing in industry analysis, forecasting, and custom market research. Role & responsibilities Project management talent Strong communication skills Fluency in all AI topics and models Technical skill to download Mistral, Deepseek and other AI apps and customize them internal use and for custom projects for our customers. Highly presentable for customer and prospect presentations custom AI market research services Fluency with Chat GPT's AI-generated coding app "Coding Assistant" Preferred candidate profile Excellent communication skill. Full -time Remote opportunity.

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763161 Show more Show less

About MostEdge At MostEdge , our purpose is clear: Accelerate commerce and build sustainable, trusted experiences. With every byte of data, we strive to Protect Every Penny. Power Every Possibility. We empower retailers to make real-time, profitable decisions using cutting-edge AI , smart infrastructure, and operational excellence. Our platforms handle: hundreds of thousands of sales transactions/hour hundreds of vendor purchase invoices/hour few hundred product updates/day With systems built for 99.99999% uptime We are building an AI-native commerce engine , and language models are at the heart of this transformation. Role Overview We are looking for an AI/ML Expert with deep experience in training and deploying Large Language Models (LLMs) to power MostEdge's next-generation operations, cost intelligence, and customer analytics platform . You will be responsible for fine-tuning domain-specific models using internal structured and unstructured data (product catalogs, invoices, chats, documents), embedding real-time knowledge through RAG pipelines, and enabling AI-powered interfaces that drive search, reporting, insight generation, and operational recommendations. Scope & Accountability What You Will Own Fine-tune and deploy LLMs for product, vendor, and shopper-facing use cases. Design hybrid retrieval-augmented generation (RAG) pipelines with LangChain, FastAPI, and vector DBs (e.g., FAISS, Weaviate, Qdrant). Train models on internal datasets (sales, cost, product specs, invoices, support logs) using supervised fine-tuning and LoRA/QLoRA techniques. Orchestrate embedding pipelines, prompt tuning, and model evaluation across customer and field operations use cases. Deploy LLMs efficiently on RunPod, AWS, or GCP , optimizing for multi-GPU, low-latency inference . Collaborate with engineering and product teams to embed model outputs in dashboards, chat UIs, and retail systems. What Success Looks Like 90%+ accuracy on retrieval and reasoning tasks for product/vendor cost and invoice queries. <3s inference time across operational prompts, running on GPU-optimized containers. Full integration of LLMs with backend APIs, sales dashboards, and product portals. 75% reduction in manual effort across selected operational workflows. Skills & Experience Must-Have 5+ years in AI/ML , with 2+ years working on LLMs or transformer architectures . Proven experience training or fine-tuning Mistral, LLaMA, Falcon, or similar open-source LLMs . Strong command over LoRA, QLoRA, PEFT, RAG, embeddings, and quantized inference . Familiarity with LangChain, HuggingFace Transformers, FAISS/Qdrant , and FastAPI for LLM orchestration. Experience deploying models on RunPod, AWS, or GCP using Docker + Kubernetes. Proficient in Python , PyTorch , and data preprocessing (structured and unstructured). Experience with ETL pipelines , multi-modal data, and real-time data integration. Nice-to-Have Experience with retail, inventory, or customer analytics systems . Knowledge of semantic search, OCR post-processing, or auto-tagging pipelines . Exposure to multi-tenant environments and secure model isolation for enterprise use. How You Reflect Our Values Lead with Purpose : You empower smarter decisions with AI-first operations. Build Trust : You make model behavior explainable, dependable, and fair. Own the Outcome : You train and optimize end-to-end pipelines from data to insights. Win Together : You partner across engineering, ops, and customer success teams. Keep It Simple : You design intuitive models, prompts, and outputs that drive action—not confusion. Why Join MostEdge? Shape how AI transforms commerce and operations at scale . Be part of a mission-critical, high-velocity, AI-first company . Build LLMs with purpose—connecting frontline data to real-time results. Job Types: Full-time, Permanent Pay: ₹1,068,726.69 - ₹2,729,919.70 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Morning shift US shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Expected Start Date: 15/07/2025

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP. Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs. Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc. Deep familiarity with internals of at least a few Machine Learning algorithms and concepts. Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc. Experience with ML model deployments using REST API, Docker, Kubernetes, etc. Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. Knowledge of basic data structures and algorithms. Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus. Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions. Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others. Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services. Optimize existing deep learning models for performance, scalability, and efficiency. Build, deploy, and own scalable production NLP pipelines. Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks. Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues. Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763161

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

About FriskaAi: FriskaAi is an intelligent health management platform, revolutionizing preventive care, chronic disease management, and population health through AI-driven insights. We are part of HFWL Company, committed to transforming healthcare through innovation, compassion, and cutting-edge technology. As we continue to expand, we are building a team of forward-thinking engineers passionate about the future of autonomous, agent-driven AI. If you're excited about designing systems that think, reason, and act independently in complex healthcare environments — we want you . Role Overview: We are looking for an experienced Agentic AI Engineer to design, build, and deploy AI agents that operate with autonomy, solve complex healthcare-related tasks, and collaborate across systems and datasets with minimal human intervention. You will work closely with our data science, product, and engineering teams to integrate agentic behavior into FriskaAi’s platform and services. Key Responsibilities: Design and build intelligent AI agents capable of independent decision-making, task planning, and adaptive learning in healthcare scenarios. Develop frameworks for multi-agent collaboration and goal-directed workflows within FriskaAi’s systems. Implement memory, reasoning, and planning capabilities into agentic modules. Integrate agents with FriskaAi’s data pipelines, patient management systems, and healthcare APIs. Research and apply advanced techniques such as tool-use , self-reflection , long-term memory , task decomposition , and recursive improvement . Optimize for explainability , ethics , and compliance in autonomous agent behavior. Collaborate with cross-functional teams to prototype, iterate, and productionize agentic solutions. Stay current with the latest advances in LLMs, autonomous systems, and healthcare AI regulations. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD preferred. 2+ years working on agentic or autonomous AI systems . Strong expertise with LLMs (e.g., GPT, Claude, Mistral) and frameworks like LangChain, AutoGen, CrewAI, or similar . Deep understanding of planning algorithms , decision-making models , and agentic architectures . Hands-on experience with Python , TensorFlow , PyTorch , or other relevant AI/ML libraries. Familiarity with healthcare data standards (e.g., HL7, FHIR, HIPAA compliance) is a strong plus. Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment. Strong written and verbal communication skills. Nice to Have: Experience developing multi-agent systems (MAS) . Knowledge of health informatics , clinical decision support systems (CDSS) , or population health AI . Contributions to open-source agentic AI projects. Familiarity with neurosymbolic AI or cognitive architectures . Apply now and join us in shaping the future of personalized health! Show more Show less

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Position Type: PartTime / Contract / Remote Location: Open Experience Required: 2-3 years (or equivalent project experience) Key Responsibilities: Work with Large Language Models (LLMs) , both open-source (like LLaMA, Mistral, GPT-NeoX) and API-based (like OpenAI, Anthropic) Develop and manage multi-agent system architectures for AI-driven applications Conduct comparative evaluation of LLMs based on quality, speed, cost, and reliability Design, test, and optimize prompts , context management strategies, and resolve common issues like hallucinations and irrelevant outputs Understand the basics of model fine-tuning and customizing pre-trained models for domain-specific use-cases Build and integrate backend systems using Node.js , RESTful/GraphQL APIs, and database management (SQL / NoSQL) Deploy applications on cloud platforms like Firebase, AWS, or Azure , and manage resources effectively Implement and manage agentic AI systems , A2A workflows (agent-to-agent) , and RAG (Retrieval-Augmented Generation) pipelines Handle hosting, scaling, and deployment of websites/web apps and maintain performance during high traffic loads Optimize infrastructure for cost-effectiveness and high availability Work with frameworks like LangChain , AutoGen , or equivalent LLM orchestration tools Lead or collaborate on AI-powered product development from concept to deployment Balance between rapid prototyping and building production-grade, reliable AI applications Preferred Skills: Strong understanding of LLM evaluation frameworks and metrics Familiarity with LangChain, AutoGen, Haystack , or similar AI agent management libraries Working knowledge of AI deployment best practices Basic knowledge of Docker, Kubernetes , and scalable hosting setups Experience in managing cross-functional teams or AI development interns is a plus Bonus Advantage: Prior experience working on AI-powered SaaS platforms Contribution to open-source AI projects or AI hackathons Familiarity with data privacy, security compliance, and cost management in AI applications Show more Show less

Kolkata,West Bengal,India Job ID 763161 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Role : AI/ML Senior Engineer Job Description We are looking for an AI/ML Senior Engineer with expertise in Natural Language Processing (NLP), Generative AI, and Machine Learning (ML) to be a part of our AI Engineering team. The ideal candidate will work on cutting-edge AI models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI Systems, to develop and deploy AI-driven solutions. Roles & Responsibilities Develop and optimize AI models leveraging LLMs, RAG, and Agentic Systems for real-world applications. Fine-tune and optimize LLMs for domain-specific tasks, ensuring scalability and efficiency. Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance information retrieval and reasoning. Apply Prompt Engineering techniques to refine and optimize LLM outputs. Integrate and deploy AI models into production environments, ensuring high performance and reliability. Support and maintain AI-powered client-facing applications, continuously improving model effectiveness. Stay updated with advancements in NLP, Generative AI, and Machine Learning to enhance AI capabilities. Must-Have Competencies Strong Python programming skills, with experience in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, Haystack, LangChain, etc. Good understanding of LLMs and Generative AI, including OpenAI, Anthropic, Mistral, Llama, etc. Experience with Retrieval-Augmented Generation (RAG) for improving AI-driven search and reasoning. Proficiency in Prompt Engineering to optimize AI-generated responses. Understanding of Agentic AI Systems and multi-agent workflows. Strong foundation in ML & NLP, including transformer models, embeddings, and vector search. Mathematical & Analytical skills for designing AI solutions. Ability to work effectively in an AI team and contribute to AI research and development. Qualifications BTech/MTech/MSc in Computer Science, AI, Computational Linguistics, or a related field. 3 to 7 years of experience in NLP, Machine Learning, or Generative AI projects. (ref:hirist.tech) Show more Show less

We are looking for a Senior AI Engineer with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment-fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles And Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems-autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end-from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set 3-6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g, GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g, LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment-self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. (ref:hirist.tech) Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies. The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate ? Architect and lead end-to-end solutions involving LLMs, diffusion models, transformers, and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Evaluate and integrate open-source and proprietary models (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini, etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices, data privacy, model safety, and bias mitigation. Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills What skills do you need ? Required Skills & Qualifications 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture. At least 3+ years of experience in designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.) Experience with prompt engineering, RAG pipelines, and vector database technologies (FAISS, Weaviate, Pinecone, Chroma, etc.) Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Strong understanding of MLOps, CI/CD for ML, and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems, autoML, RLHF, or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Masters or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer Lead innovation at the edge of Generative AI and intelligent systems. Work with a talented team building future-ready AI infrastructure. Access to state-of-the-art tools, models, and cloud credits. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

We are looking for a Senior Software Engineer AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environmentfast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles And Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set 3 to 6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environmentself-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. (ref:hirist.tech) Show more Show less

Role : Senior Generative AI Engineer Location : Chennai (on-site) Exp : 3 - 5 years FarmwiseAI is a leading Geospatial AI company based in Chennai, specializing in AI driven agriculture solutions that enable data-driven decision-making for governments, lenders, and businesses. Founded in 2020, we deliver real-time advisory, automated land mapping, and crop-monitoring products at scale to foster sustainable development. As an AI-first organization, we embed AI assistance across our entire product lifecycle from brainstorming and architecture to testing and deployment to empower every team member to leverage AI in their day-to-day work. We are hiring a Generative AI Engineer to build, deploy, and optimize multimodal AI services across text, speech, and vision. You'll work on RAG, synthetic data generation, agent workflows, and integrate STT/TTS/OCR with scalable backend systems. Generative Pipelines : Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation. Multimodal Integration : Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions. AI Agent Workflows : Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys. Containerization & Deployment : Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery. Observability : Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability. Collaboration : Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration. Documentation & Mentorship : Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns Bachelor's/Masters in Computer Science, Data Science, IT, or related field. 2 - 3 years of experience building AI/ML products in Python. Must be proficient in AI-first coding tools like Claude Code, Cursor, Roocode, etc. Proven experience in deploying GenAI applications and agents in production. Strong hands-on with vector search, embedding-based retrieval, STT, TTS, OCR/vision. Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows. Strong debugging, performance tuning, and cost-optimization skills. Excellent communication, teamwork, and mentoring abilities. Languages & Tools (mandatory) : Python (pandas, scikit-learn, PyTorch, Tensorflow, etc.), Git/GitHub , AWS or GCP. Generative AI stack (mandatory) : LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models). Vector stores : FAISS, Pinecone, Qdrant, Weaviate, etc. Keyword Index : Elasticsearch, Apache Solr, Typesense, etc. Validation frameworks : Pydantic, Instructor, etc. LLM Abstraction libraries : Lite LLM Asynchronous or parallel programming : asyncio, joblib, etc. API frameworks : FastAPI, Flask, etc. FE prototyping : Streamlit, Gradio, etc Agentic AI Frameworks (mandatory, 1) : Google Agents Development Kit , LangGraph, OpenAI Agents SDK, PydanticAI. Speech & Vision (nice-to-have) : OpenAI Realtime Voice API/Whisper; ElevenLabs/Smallest.ai TTS; LlamaParse/JinaAI/Mistral OCR. Observability & Monitoring (nice-to-have) : OpenTelemetry, Prometheus , LangSmith, Pydantic Logfire . Cloud & DevOps (nice-to-have) : Docker, Kubernetes, GitHub Actions. Domain experience in AgriTech, FinTech, HRTech or EduTech. Experience and profound interest in reading and implementing research papers. Open-source contributions or published evaluation suites. Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart). Familiarity with React/Next.js integration (ref:hirist.tech) Show more Show less

Job Title : Generative AI Specialist / Senior AI Engineer Location : NCR (Gurugram) / Chennai, India Experience : 58 years total, with minimum 1 year hands-on in Generative AI About The Role We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation. Key Responsibilities Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude). Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines. Work closely with product, design, and engineering teams to integrate GenAI solutions into products. Optimize models for performance, scalability, and latency. Develop evaluation frameworks to measure output quality, relevance, and safety. Stay updated with the latest in GenAI, foundation models, and responsible AI practices. Collaborate in building reusable components, frameworks, and services for GenAI use cases. Required Qualifications 58 years of total experience in software engineering / AI / data science. Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings). Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar. Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps. Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Preferred Skills Experience with Retrieval-Augmented Generation (RAG) pipelines. Understanding of Responsible AI, privacy, and model governance. Background in finance, healthcare, or enterprise AI products is a plus. Contributions to open-source GenAI projects or published research papers. (ref:hirist.tech) Show more Show less

Job Title : Generative AI & Automation Expert. Location : Delhi, India. Department : Technology. Reports To : Chief Technology Officer (CTO). Employment Type : Drishti IAS : 'Drishti The Vision' was founded on 1st November 1999. Since then, we have been a beacon of excellence in the field of Civil Services Examination preparation and one of the top choices for those preparing for the UPSC Civil Services Examination (CSE). Drishti IAS is dedicated to providing unwavering support and expert guidance for UPSC and State Services aspirants across multiple States/Union Territories in India. We also offer comprehensive online programs accessible through our Drishti Learning App (Android, iOS & Windows), in addition to our well-established physical classroom centers. Job Overview We are seeking a skilled Generative AI & Automation Expert to lead the development and enhancement of our AI-driven educational tools and automation infrastructure. The ideal candidate will have deep expertise in generative AI, large language models (LLMs), and workflow automation technologies, with a passion for EdTech innovation. This role involves building and maintaining AI solutions that improve learner experiences, automating content generation processes, and ensuring operational excellence through automation. Key Responsibilities AI Infrastructure Development : Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. Deploy and fine-tune local large language models (LLMs), ensuring high performance, reliability, and cost efficiency. Generative AI Features Enhance educational applications by implementing generative AI capabilities such as chatbots for real-time doubt resolution, automated quiz generation, and summarization tools. Develop automated systems to efficiently generate educational content such as test series questions and learning materials. Automation & Workflow Optimization Deploy and manage automation tools to streamline organizational workflows, improving productivity across various teams. Implement AI-driven analytical tools to evaluate sales and support interactions, providing actionable insights to management. Technical Leadership Lead and collaborate with cross-functional teams in integrating advanced AI and automation solutions. Stay current with developments in AI, LLMs, and automation tools, and incorporate industry best practices into the technology strategy. Knowledge Transfer & Documentation Create comprehensive documentation of processes, workflows, and system architectures. Provide training and mentorship to team members to foster innovation and maintain technological proficiency. Education Qualifications & Skills : Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Experience Minimum of 5 years experience specializing in generative AI, LLMs, and automation. Proven experience developing AI solutions within EdTech or related sectors. Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. Practical experience in deploying and fine-tuning models such as Deepseek, Mistral, or Llama. Technical Skills Strong programming proficiency in Python, FastAPI, and containerization technologies like Docker. Experience with workflow automation tools (e.g., n8n, Zapier). Knowledge of cloud services (AWS, Azure, GCP) and vector databases (Weaviate, Qdrant, Pinecone). Familiarity with MLOps practices and CI/CD pipelines is advantageous. Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and interpersonal skills. Capacity to independently manage projects and handle multiple priorities effectively. Preferred Prior experience in the EdTech industry, particularly developing AI-driven educational tools. Familiarity with UPSC examination content and preparation processes. (ref:hirist.tech) Show more Show less

Job Description We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains. Key Responsibilities : . Develop and implement machine learning models and deep learning algorithms for various use cases. Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis. Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks. Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications. Collaborate with cross-functional teams to design AI-driven solutions that address business problems. Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation. Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies. Present findings and insights to stakeholders in a clear and actionable manner. Build and maintain end-to-end machine learning pipelines for scalable deployment. Required Skills Strong expertise in supervised and unsupervised machine learning techniques. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling. Hands-on experience with generative AI models and their practical applications. Proven ability to fine-tune large language models (LLMs) for specific tasks. Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas. Experience in handling large datasets and working with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction. Strong problem-solving skills, analytical thinking, and attention to detail. Preferred Skills Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance. Expertise in computer vision techniques, including object detection, image segmentation, and classification. Proficiency with YOLO algorithms and other state-of-the-art computer vision models. Hands-on experience in building and deploying models in real-time applications or production environments. Qualifications 3+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science, Statistics, or a related discipline. (ref:hirist.tech) Show more Show less