181 Pinecone Jobs

Key Responsibilities: Architect, build, and deploy scalable GenAI applications using OpenAI, and Retrieval-Augmented Generation (RAG) techniques. Design and orchestrate modular, reproducible, and robust data pipelines leveraging Kedro for end-to-end machine learning workflows. Integrate LangChain to develop advanced natural language workflows and enhance AI-powered applications. Take GenAI prototypes from concept to production, ensuring reliability, scalability, and maintainability in real-world environments. Containerize machine learning and GenAI solutions with Docker for seamless deployment and scalability across cloud and on-premises platforms. Collaborate with cross-functional teamsincluding Engineering, Product, and Operationsto align AI solutions with business goals and deliver measurable impact. Mentor and support junior team members, sharing best practices in data science, MLOps, and GenAI deployment. Continuously evaluate and implement emerging AI technologies, driving innovation and excellence in our AI capabilities. Key Qualifications: 4+ years of experience in GenAI, data science, machine learning, or AI-focused roles. 2+ years of experience in GenAI. Advanced proficiency in Python; extensive experience with OpenAI APIs, and other modern LLMs. Strong background in Retrieval-Augmented Generation (RAG) methods and architectures. Proven expertise with LangChain for natural language processing and workflow automation. Demonstrated experience taking GenAI prototypes to production environments. Experience building and orchestrating data pipelines with Kedro. Proficient in Docker-based containerization and deployment (Kubernetes a plus). Knowledge of data engineering and software engineering best practices. Excellent communication, collaboration, and mentoring skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience with working on SQL DB like Postgres and No-SQL DB like MongoDB Preferred Qualifications: Experience with AWS or other major cloud platforms. Experience with CI/CD tools and automated testing frameworks. Open-source contributions, technical presentations, or publications in AI/ML. Previous leadership or mentorship of technical teams. Building Backend Python APIs.

We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform data preprocessing and feature engineering on structured, unstructured, and streaming data to build high-quality training datasets. Collaborate with Data Engineering teams to ensure robust, well-curated datasets while maintaining PHI/PII safety and compliance. Implement fine-tuning of large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) pipelines. Evaluate and optimize models focusing on accuracy, performance, scalability, and operational cost-effectiveness. Integrate ML models into production applications and expose them via APIs for seamless consumption. Work closely with MLOps teams to automate workflows for model training, testing, deployment, and continuous monitoring. Conduct experimentation, A/B testing, and rigorous model validation to guarantee performance and reliability. Document experiments, data pipelines, model architectures, and best practices to ensure reproducibility and knowledge sharing. Required Skills & Qualifications: 3+ years of hands-on experience in machine learning engineering, model development, and production deployment. Strong proficiency in Python, with expertise in libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow. Solid understanding of the full ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience working with AWS services for machine learning: SageMaker, Lambda, ECS/EKS, Step Functions, Bedrock, S3, and DynamoDB. Practical knowledge of large language models (LLMs), natural language processing (NLP), and vector embeddings. Proficient in developing APIs and deploying ML models as microservices in production environments. Experience in orchestrating ML pipelines using tools such as Airflow, Kubeflow, or MLflow. Familiarity with data versioning, experiment tracking, and model registry best practices. Strong SQL and NoSQL database skills, including experience with vector databases like Weaviate, Pinecone, or FAISS. Preferred Attributes: Experience in healthcare or regulated domains, ensuring compliance with industry standards. Excellent problem-solving skills, with a passion for experimentation, iteration, and delivering innovative AI solutions. Strong communication skills, capable of collaborating with cross-functional teams. Self-driven, with a focus on automating and improving ML workflows and processes.

Primary Title: Senior LLM Engineer (4+ years) Hybrid, India About The Opportunity A technology consulting firm operating at the intersection of Enterprise AI, Generative AI and Cloud Engineering seeks an experienced LLM-focused engineer. You will build and productionize LLM-powered products and integrations for enterprise customers across knowledge management, search, automation, and conversational AI use-cases. This is a hybrid role based in India for candidates with strong hands-on LLM engineering experience. Role & Responsibilities Own design and implementation of end-to-end LLM solutions: data ingestion ? retrieval (RAG) ? fine-tuning ? inference and monitoring for production workloads. Develop robust Python microservices to serve LLM inference, retrieval, and agentic workflows using LangChain/LangGraph or equivalent toolkits. Implement and optimise vector search pipelines (FAISS/Pinecone/Milvus), embedding generation, chunking strategies, and relevance tuning for sub-second retrieval. Perform parameter-efficient fine-tuning (LoRA/adapters) and evaluation workflows; manage model versioning and automated validation for quality and safety. Containerise and deploy models and services with Docker and Kubernetes; integrate with cloud infra (AWS/Azure/GCP) and CI/CD for repeatable delivery. Establish observability, alerting, and performance SLAs for LLM services; collaborate with cross-functional teams to define success metrics and iterate rapidly. Skills & Qualifications Must-Have 4+ years engineering experience with 2+ years working directly on LLM/Generative AI projects. Strong Python skills and hands-on experience with PyTorch and HuggingFace/transformers libraries. Practical experience building RAG pipelines, vector search (FAISS/Pinecone/Milvus), and embedding workflows. Experience with fine-tuning strategies (LoRA/adapters) and evaluation frameworks for model quality and safety. Familiarity with Docker, Kubernetes, cloud deployment (AWS/Azure/GCP), and Git-based CI/CD workflows. Solid understanding of prompt engineering, retrieval strategies, and production monitoring of ML services. Preferred Experience with LangChain/LangGraph, agent frameworks, or building tool-calling pipelines. Exposure to MLOps platforms, model registry, autoscaling low-latency inference, and cost-optimisation techniques. Background in productionising LLMs for enterprise use-cases (knowledge bases, search, virtual assistants). Benefits & Culture Highlights Hybrid work model with flexible in-office collaboration and remote days; competitive market compensation. Opportunity to work on high-impact enterprise AI initiatives and shape production-grade GenAI patterns across customers. Learning-first culture: access to technical mentorship, experimentation environments, and conferences/learning stipend. To apply: include a brief portfolio of LLM projects, links to relevant repositories or demos, and a summary of production responsibilities. This role is ideal for engineers passionate about turning cutting-edge LLM research into reliable, scalable enterprise solutions. Skills: llm,open ai,gemini Show more Show less

Job Title: Principal Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Convert broad vision and concepts into a structured data science roadmap and guide a team to successfully execute on it Collaborate with AI Product managers, UI/UX, stakeholders, etc. to design, develop, and deploy AI/LLM models Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Expertise in designing solutions using semantic search and vector embeddings Translate high-level business goals into measurable, AI-powered deliverables Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management skills required to deliver complex projects, including effort/time estimation Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 10+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

Job Title: Lead Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics with a proven track record of developing AI/LLM models and algorithms A masters or bachelors degree in data science, Computer Science, Statistics, or a related field Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

Primary Title: Senior LLM Engineer (4+ years) Hybrid, India About The Opportunity A technology consulting firm operating at the intersection of Enterprise AI, Generative AI and Cloud Engineering seeks an experienced LLM-focused engineer. You will build and productionize LLM-powered products and integrations for enterprise customers across knowledge management, search, automation, and conversational AI use-cases. This is a hybrid role based in India for candidates with strong hands-on LLM engineering experience. Role & Responsibilities Own design and implementation of end-to-end LLM solutions: data ingestion ? retrieval (RAG) ? fine-tuning ? inference and monitoring for production workloads. Develop robust Python microservices to serve LLM inference, retrieval, and agentic workflows using LangChain/LangGraph or equivalent toolkits. Implement and optimise vector search pipelines (FAISS/Pinecone/Milvus), embedding generation, chunking strategies, and relevance tuning for sub-second retrieval. Perform parameter-efficient fine-tuning (LoRA/adapters) and evaluation workflows; manage model versioning and automated validation for quality and safety. Containerise and deploy models and services with Docker and Kubernetes; integrate with cloud infra (AWS/Azure/GCP) and CI/CD for repeatable delivery. Establish observability, alerting, and performance SLAs for LLM services; collaborate with cross-functional teams to define success metrics and iterate rapidly. Skills & Qualifications Must-Have 4+ years engineering experience with 2+ years working directly on LLM/Generative AI projects. Strong Python skills and hands-on experience with PyTorch and HuggingFace/transformers libraries. Practical experience building RAG pipelines, vector search (FAISS/Pinecone/Milvus), and embedding workflows. Experience with fine-tuning strategies (LoRA/adapters) and evaluation frameworks for model quality and safety. Familiarity with Docker, Kubernetes, cloud deployment (AWS/Azure/GCP), and Git-based CI/CD workflows. Solid understanding of prompt engineering, retrieval strategies, and production monitoring of ML services. Preferred Experience with LangChain/LangGraph, agent frameworks, or building tool-calling pipelines. Exposure to MLOps platforms, model registry, autoscaling low-latency inference, and cost-optimisation techniques. Background in productionising LLMs for enterprise use-cases (knowledge bases, search, virtual assistants). Benefits & Culture Highlights Hybrid work model with flexible in-office collaboration and remote days; competitive market compensation. Opportunity to work on high-impact enterprise AI initiatives and shape production-grade GenAI patterns across customers. Learning-first culture: access to technical mentorship, experimentation environments, and conferences/learning stipend. To apply: include a brief portfolio of LLM projects, links to relevant repositories or demos, and a summary of production responsibilities. This role is ideal for engineers passionate about turning cutting-edge LLM research into reliable, scalable enterprise solutions. Skills: llm,open ai,gemini Show more Show less

As a Power Automate & GenAI Specialist at our Pune location, you will be responsible for executing and maintaining Power Automate (Cloud + Desktop) flows, supporting GenAI service integration into business processes, and building and integrating backend services using FastAPI. Your role will be aligned to Mid-Level, Senior-Level, or Lead-Level based on your skills and experience. Key Responsibilities: - For Mid-Level (3-5 years): - Execute and maintain Power Automate (Cloud + Desktop) flows - Support GenAI service integration into business processes - Build and integrate backend services using FastAPI - For Senior-Level (6-9 years): - Design and implement end-to-end Power Automate workflows - Develop and deploy custom GenAI-based services - Manage Azure service deployments and backend integrations - For Lead-Level (9+ years): - Own solution delivery and provide architecture input - Align with stakeholders and business leaders on automation strategy - Mentor teams, guide vendor resources, and ensure delivery quality Qualification Required: - Hands-on experience in Power Automate (Cloud + Desktop) - Knowledge of GenAI Suite including OpenAI, Gemini, LangChain - Experience with FastAPI for backend service integration - Familiarity with Vector Databases such as FAISS, Pinecone, Chroma - Proficiency in Azure Services like Functions, Blob, Key Vault, Cognitive APIs - Skill in Python for GenAI logic and FastAPI services - Application of OOPS Concepts in backend design and service development In addition to the technical qualifications, preferred qualifications for this role include experience in healthcare or insurance automation, exposure to RPA tools (UIPath preferred), knowledge of prompt engineering and LLM fine-tuning, and familiarity with CI/CD, Docker, Kubernetes (preferred for Lead-Level). Please ensure to clearly align your profile with the Mid/Senior/Lead roles, avoid profiles with only theoretical GenAI exposure, and highlight hands-on Power Automate experience in resume summaries. This is a full-time position with the work location being in person. If you are seeking an opportunity to leverage your expertise in Power Automate, GenAI integration, and Azure services to drive automation and innovation, we encourage you to apply for this role.,

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in technical delivery. Partner with stakeholders to translate business needs into AI solutions. Ensure scalability, performance, and reliability of deployed models. Stay current with GenAI advancements and evaluate adoption for the organization. Required Skills: Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks. Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP). Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling. Experience with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex). Excellent problem-solving, communication, and leadership skills. Show more Show less

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

As a highly skilled GenAI Lead Engineer, your role will involve designing and implementing advanced frameworks for alternate data analysis in the investment management domain. You will leverage LLM APIs (such as GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to drive next-generation AI-driven investment insights. Additionally, you will lead a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions. **Key Responsibilities:** - **GenAI Framework Development:** Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis. - **Automation & Orchestration:** Design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks). Build modular pipelines for structured and unstructured data. - **Infrastructure & Deployment:** Architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters). Ensure high availability, scalability, and security in deployed AI systems. **Qualification Required:** - Strong proficiency in Python with experience in frameworks such as TensorFlow or PyTorch. - 2+ years of experience in Generative AI and Large Language Models (LLMs). - Experience with VectorDBs (e.g., Pinecone, Weaviate, Milvus, FAISS) and document ingestion pipelines. - Familiarity with data orchestration tools (e.g., n8n, Airflow, LangChain Agents). - Understanding of cloud deployments and GPU infrastructure (CoreWeave or equivalent). - Proven leadership skills with experience managing cross-functional engineering teams. - Strong problem-solving skills and ability to work in fast-paced, data-driven environments. - Experience with financial or investment data platforms. - Knowledge of RAG (Retrieval-Augmented Generation) systems. - Familiarity with frontend integration for AI-powered applications. - Exposure to MLOps practices for continuous training and deployment.,

As a Senior AI Engineer at Uplevyl, you will play a crucial role in leading the design and deployment of AI-powered, agentic workflows that drive the future of personalized insights. Your main focus will be on vector search, retrieval-augmented generation (RAG), and intelligent automation, collaborating closely with full-stack engineers and product teams to bring scalable GenAI features into production. Key Responsibilities: - Design and implement RAG pipelines for semantic search, personalization, and contextual enrichment. - Build agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration. - Integrate LLM-driven features into production systems, balancing innovation with scalability. - Architect and optimize vector databases (Pinecone, FAISS, Milvus) for low-latency retrieval. - Work with structured/unstructured datasets for embedding, indexing, and enrichment. - Collaborate with data engineers on ETL/ELT pipelines to prepare data for AI applications. - Partner with backend and frontend engineers to integrate AI features into user-facing products. - Participate in Agile ceremonies (sprint planning, reviews, standups). - Maintain clear documentation and support knowledge sharing across the AI team. Required Qualifications: - 5+ years in AI/ML engineering or software engineering with applied AI focus. - Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Milvus), and LLM integration. - Strong background in Python for AI workflows (embeddings, orchestration, optimization). - Familiarity with agentic architectures (LangChain, LangGraph, or similar). - Experience deploying and scaling AI features on AWS cloud environments. - Strong collaboration and communication skills for cross-functional teamwork. Tech Stack: - AI Tools: Pinecone, LangChain, LangGraph, OpenAI APIs (ChatGPT, GPT-4/5), HuggingFace models - Languages: Python (primary for AI workflows), basic Node.js knowledge for integration - Cloud & DevOps: AWS (Lambda, S3, RDS, DynamoDB, IAM), Docker, CI/CD pipelines - Data Engineering: SQL, Python (Pandas, NumPy), ETL/ELT workflows, Databases (Postgres, DynamoDB, Redis) - Bonus Exposure: React, Next.js Preferred Skills: - Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs. - Knowledge of compliance frameworks (GDPR, HIPAA, SOC 2). - Exposure to personalization engines, recommender systems, or conversational AI.,

About Us At InzpireU, we are on a mission to amplify human potential through AI-powered mentorship, learning, and accountability. We believe AI should serve as an enabler of growthnot a replacement for people. As an AI Intern, you will be part of a passionate team building next-gen solutions that combine AI, data, and human guidance to transform how individuals and organizations learn, grow, and succeed. Role Overview We are seeking a motivated AI Intern who is eager to gain hands-on experience in applied AI, product development, and data-driven solutions. You will support the design, development, and testing of AI features across mentorship, learning personalization, and outcome tracking. This is an excellent opportunity to learn, experiment, and build real-world AI applications in a fast-paced startup environment. Key Responsibilities Assist in building and fine-tuning AI/ML models (LLMs, recommendation engines, NLP, etc.). Support integration of AI features into our platform (e.g., Co-Guru, APEX assessments, document writers). Research emerging AI tools and frameworks (e.g., LangChain, OpenAI, Gemini, vector databases) and provide insights for adoption. Help design conversational AI prompts, workflows, and evaluation strategies. Work with the engineering team to clean, label, and prepare datasets. Document experiments, findings, and best practices to build internal AI knowledge. Collaborate with product managers and mentors to align AI solutions with user needs. Requirements Currently pursuing a degree in Computer Science, AI/ML, Data Science, or related field . Basic understanding of Python , ML libraries (TensorFlow, PyTorch, scikit-learn), or LLM frameworks. Familiarity with APIs, databases, and cloud services (AWS/GCP/Azure is a plus). Strong interest in Generative AI, NLP, and applied machine learning . Analytical mindset with eagerness to learn and experiment. Good communication skills and ability to work in a collaborative, remote-first team. Preferred (Nice to Have) Hands-on experience with LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS) . Exposure to AI ethics, bias mitigation, and responsible AI frameworks . Prior projects (academic or personal) in chatbots, recommendation systems, or predictive analytics . What Youll Gain Real-world exposure to AI product development in a startup environment . Mentorship from experienced engineers and AI innovators. Opportunity to contribute to features that directly impact users. Potential pathway to a full-time AI Engineer role upon successful completion. Show more Show less

Job Title: AI/ML Engineer (with Python & LLM Ops focus) Location: [Pan India-Remote] Experience: 24 years Core Responsibilities Develop and optimize data pipelines using Python, Pandas, and Scikit-learn . Support prompt engineering initiatives for LLM-based applications. Conduct model evaluation and testing , ensuring accuracy, reliability, and performance. Work with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval. Secondary Responsibilities Assist in fine-tuning small and domain-specific models for production use. Write automation scripts for data preparation, cleaning, and feature engineering. Collaborate with product and engineering teams to enable API integrations for ML services. Must-Have Skills Strong programming skills in Python with hands-on experience in Pandas and Scikit-learn . Basic knowledge of prompt engineering for LLMs. Understanding of model evaluation metrics and testing techniques . Exposure to Vector Databases (Pinecone, FAISS, or similar). Good-to-Have Skills Experience with fine-tuning smaller ML or LLM models . Familiarity with REST APIs / GraphQL and integrating ML models into production workflows. Knowledge of data preprocessing pipelines and automation scripts. Soft Skills Strong problem-solving and analytical mindset. Ability to work in a collaborative environment with cross-functional teams. Curiosity to explore and learn new AI/ML tools and frameworks. Show more Show less

As an AI/ML professional at Voxai, you will play a crucial role in architecting and implementing Large Language Model (LLM)-driven solutions that revolutionize customer experience in the contact center domain. Your responsibilities will include designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, recommending AI/ML architectures, developing AI agents, experimenting with Agentic AI systems, and building MLOps pipelines. You will collaborate with cross-functional teams to deliver real-world AI applications, analyze contact center data to derive actionable insights, and mentor junior engineers. Your qualifications should include a strong foundation in Computer Science, proficiency in Statistics and Machine Learning, hands-on experience in deploying ML models, familiarity with LLMs and vector databases, and expertise in MLOps tools and cloud-native deployment. Additionally, excellent problem-solving, analytical, and communication skills are essential for this role. Ideally, you should hold a Masters or Ph.D. in Computer Science or a related field, have experience in enterprise software or customer experience platforms, and be able to work effectively in a fast-paced, collaborative environment. Join Voxai to be at the forefront of CX innovation and make a significant impact in the tech industry.,

We are looking for a highly motivated and experienced data scientist to lead the team of Gen-Ai Engineers. As a data scientist, you will be responsible for managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a passion for artificial intelligence and stay updated on the latest developments in the field. You will be expected to utilize frameworks like Langchain for developing scalable and efficient AI solutions. Additionally, you will integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. Working closely with cross-functional teams, you will define problem statements and prototype solutions leveraging generative AI. Ensuring robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development will be a key responsibility. Your tasks will include exploring and visualizing data to gain insights and identifying differences in data distribution that could impact model performance in real-world deployment. You will devise and oversee data-centered projects, verify data quality through cleaning, supervise data acquisition processes, and find suitable datasets for training. Defining validation strategies, feature engineering, and data augmentation pipelines will also be part of your role. As for qualifications, we require a Bachelors/Masters degree in computer science, data science, mathematics, or a related field, along with at least 5-10 years of experience in building Gen-Ai applications. Preferred skills for this role include proficiency in statistical techniques like hypothesis testing, regression analysis, clustering, classification, and time series analysis. You should also be proficient in deep learning frameworks such as TensorFlow, PyTorch, and Keras, specializing in Deep Learning (NLP) and statistical machine learning. Strong Python skills are essential, along with experience in developing production-grade applications. Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone, as well as understanding and experience with retrieval algorithms, will be advantageous. Experience with Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive for efficient data processing and analysis at scale is preferred. Familiarity with working and deploying applications on Ubuntu/Linux systems and excellent communication, negotiation, and interpersonal skills are also desired qualities for this role.,

Job Title: Sr. AI/ML Engineer-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

As the Lead AI Application Developer, you will be responsible for architecting and overseeing the implementation of the Agentic AI platform. Your role will involve guiding the development process from conceptualization to deployment, ensuring a modular and scalable architecture, and providing mentorship to the developer team to deliver high-quality and production-ready AI agents. Your key responsibilities will include leading sprint planning, conducting code reviews, and participating in architecture discussions. You will also need to ensure compliance with secure coding practices, performance standards, and test coverage requirements. With a background of 4-6 years in software development, particularly in Python, Node.js, or Java, you should also possess experience with LLMs such as OpenAI, Claude, or Mistral, as well as a strong understanding of agent frameworks like LangChain, Autogen, or CrewAI. Proficiency in FastAPI, REST APIs, version control using Git, CI/CD processes, and vector databases like Pinecone or FAISS will be essential for this role. Your leadership skills will play a crucial role in driving the technical execution and taking ownership of projects. You will be expected to lead the delivery of 10 reusable AI agent modules per quarter, maintain a bug rate of less than 10 percent post-deployment, achieve 90 percent unit test coverage for core modules, and contribute to 100 percent uptime and reliability in production services. Experience in containerized deployment using Docker or Kubernetes, familiarity with design patterns and event-driven systems, and leadership in Agile/Scrum environments will be beneficial for this position. Overall, as the Lead AI Application Developer, you will play a pivotal role in shaping and enhancing the AI capabilities of the organization, driving innovation, and ensuring the successful deployment of AI solutions to meet business objectives.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. You will play a key role in driving new business initiatives and solutions for our clients within the Supply Chain industry. Key Responsibilities: - Collaborate with data engineering teams to enable high-quality data curation for model training and evaluation. - Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. - Implement solutions for data pre-processing, tokenization, and dataset augmentation. - Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. - Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. - Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. - Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills and Attributes for Success: - 4-7 years of experience in Generative AI, Machine Learning, or Analytics development. - Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. - Experience with data pipelines and tools like Spark, Snowflake, or Databricks. - Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). - Expertise in Model Development with in-depth knowledge of LLMs such as GPT-3.5, GPT-4, DALL-E, and others. - Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows. - Ability to mentor developers and contribute to architectural decisions. - Familiarity with Vector Databases and embeddings. - Knowledge of NLP techniques like summarization, text classification, and entity recognition. - Certifications in Machine Learning or cloud platforms are a plus. Qualifications: - 4-7 years of ML, MLOps, Generative AI experience as Developer/Lead/Architect. - Expertise in Data Engineering, Data transformation, curation, feature selection, ETL mappings, and Data Warehouse concepts. - Proficiency in SQL, Python, PySpark, Spark, and other languages. - Knowledge of Cloud platforms and frameworks like LangChain, Hugging Face, Azure ML Studio. - Experience in designing and developing end-to-end GenAI solutions for production. - Strong communication skills and ability to interact with clients to understand business requirements. EY offers a dynamic and inclusive work environment where you can contribute to cutting-edge projects and develop your skills. Join us in building a better working world through innovation and collaboration.,

As a Generative AI Architect with 5 to 10+ years of experience, you will be responsible for designing, developing, and deploying enterprise-grade GenAI solutions. Your role will require in-depth expertise in LLMs, RAG, MLOps, cloud platforms, and scalable AI architecture. You will architect and implement secure, scalable GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. Additionally, you will build RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, and ElasticSearch. Your responsibilities will also include leading prompt engineering, setting up evaluation frameworks for accuracy and safety, and developing reusable GenAI modules for function calling, summarization, document chat, and Q&A. Furthermore, you will deploy workloads on AWS Bedrock, Azure OpenAI, and GCP Vertex AI, ensuring monitoring and observability with Grafana, Prometheus, and OpenTelemetry. You will apply MLOps best practices such as CI/CD, model versioning, and rollback. Researching emerging trends like multi-agent systems, autonomous agents, and fine-tuning will also be part of your role, along with implementing data governance and compliance measures like PII masking, audit logs, and encryption. To be successful in this role, you should have 8+ years of experience in AI/ML, including 2-3 years specifically in LLMs/GenAI. Strong coding skills in Python with Hugging Face Transformers, LangChain, and OpenAI SDKs are essential. Expertise in Vector Databases like Pinecone, FAISS, Qdrant, and Weaviate is required, along with hands-on experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, and GCP Vertex AI. Experience in building RAG pipelines and chat-based applications, familiarity with agents and orchestration frameworks like LangGraph, AutoGen, and CrewAI, knowledge of MLOps stack including MLflow, Airflow, Docker, Kubernetes, and FastAPI, as well as understanding of prompt security and GenAI evaluation metrics like BERTScore, BLEU, and GPTScore are also important. Excellent communication and leadership skills for architecture discussions and mentoring are expected in this role.,

As an AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will have the opportunity to work remotely or in a hybrid setting. In this role, whether on a full-time or contract basis, your responsibilities will revolve around developing AI-driven conversational agents using LangChain and LangGraph. You will collaborate with various LLMs such as OpenAI, Claude, and Llama, fine-tuning and customizing models to meet project requirements. Additionally, you will be tasked with implementing vector search functionalities using databases like Milvus, MongoDB, or other relevant platforms. Integration of AI models into the backend of the platforms and optimizing their performance will be a crucial aspect of your work. Furthermore, active collaboration with front-end and back-end teams is essential to enhance the overall AI functionalities of the project. To excel in this role, you should possess a strong background in utilizing LangChain, LangGraph, and OpenAI/LLM APIs. Proficiency in programming languages such as Python, along with experience in working with PyTorch, TensorFlow, and fine-tuning transformer models, will be valuable assets. Your familiarity with vector databases like Milvus, Pinecone, Weaviate, or MongoDB Atlas will play a significant role in your day-to-day tasks. Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and embeddings is highly desirable, alongside experience in API development and integration. Additionally, any prior exposure to cloud platforms such as AWS, GCP, or Azure will be considered advantageous. This position welcomes freshers who are eager to learn and contribute to the field of AI development, particularly in NLP and LLMs. If you are enthusiastic about leveraging advanced technologies to create innovative solutions, this role offers a stimulating environment to grow and excel in the realm of AI development.,

As a Generative AI Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Airtel Digital in Gurugram, you will be responsible for designing, developing, and deploying advanced AI solutions. Your role will involve creating cutting-edge pipelines, deploying fine-tuned models, and fostering innovation in AI-powered applications. Collaborating closely with data scientists, engineers, and product teams, you will revolutionize user interactions with AI-driven platforms by utilizing the latest tools and frameworks in the Gen AI ecosystem. Your key responsibilities will include designing and orchestrating language model pipelines using LangChain, integrating knowledge graphs with Neo4j or rdflib, fine-tuning and optimizing large language models with Hugging Face Transformers, as well as developing, training, and fine-tuning models using PyTorch or TensorFlow. You will also implement traditional machine learning algorithms, conduct statistical analysis using scikit-learn, manipulate and analyze data efficiently with NumPy and pandas, and create engaging data visualizations using matplotlib and Seaborn. Additionally, you will integrate FAISS for vector search optimization in Retrieval Augmented Generation (RAG) architectures and utilize tools like Elasticsearch or Pinecone for scalable real-time indexing and retrieval systems. Text preprocessing, tokenization, and NLP-related tasks will be carried out using spaCy or NLTK, while experience with LANGgraph and Agentic AI frameworks is a plus. For this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, along with strong proficiency in Python and experience working with AI/ML frameworks. A solid understanding of NLP, LLMs, and machine learning algorithms is essential, as well as experience in building and deploying AI models using Hugging Face Transformers, PyTorch, or TensorFlow. Proficiency in data manipulation and analysis using NumPy and pandas, and hands-on experience with vector search tools like FAISS, Elasticsearch, or Pinecone are also necessary. Preferred qualifications include experience with advanced AI frameworks such as LANGgraph and Agentic AI frameworks, knowledge of building and integrating knowledge graphs using Neo4j or rdflib, familiarity with spaCy and NLTK for advanced NLP tasks, a strong background in data visualization with matplotlib and Seaborn, and previous experience working with RAG architectures and real-time retrieval systems. Joining our team means being part of a forward-thinking AI team at the forefront of innovation, collaborating with industry leaders on impactful AI-driven projects, and benefiting from a competitive salary, comprehensive benefits, and opportunities for professional growth.,

Job Title: IBU Solution Services AI Senior Engineer Job Function: Analytics and Data Sciences Location: Bangalore, India Hiring Manager: Shubhra Verma Role Level: 7 to 10 years Detailed Description: Responsibilities: Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications. Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets. Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions. Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectures. u00A0 Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management. Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs). Develop and maintain scalable advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT). u00A0. Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy. Stay at the forefront of AI/ML advancements and integrate cutting-edge techniques into existing and new projects. Mentor and provide technical guidance to junior developers and team members. Author and maintain detailed documentation of processes, methodologies, and best practices. Implement and optimize cutting-edge deep learning models, such as Generative Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT). Explore and implement federated learning approaches to build AI/ML models while preserving patient data privacy and security. Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models. Translate complex AI concepts into actionable insights for business stakeholders. Required Qualifications: Bachelor's, Master's in Computer Science, AI, ML, Data Science, or related fields. 7+ years of experience with AI / ML solutions Extensive experience in developing and deploying machine learning models in a production environment. Expertise in Python (NumPy, Pandas, scikit-learn), and proficiency in Java, Scala, or similar languages. Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers). u00A0 Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI/CD, and model monitoring. u00A0 Well versed with Agentic AI. Deep understanding on Langchain ecosystem. Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing. u00A0 Proficiency in vector databases (FAISS, Chroma DB, Pinecone) for efficient similarity search. u00A0 Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning. In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives. Preferred Qualifications : Experience in regulated industries such as healthcare, biopharma. Contributions to AI research, open-source projects, or top-tier AI conferences. u00A0 Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks. u00A0 Proven ability to scale AI teams and lead complex AI projects in high-growth environments Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

We are looking for a skilled Senior AI Developer to join our dynamic team. The ideal candidate will have expertise in developing and deploying AI-driven applications with a focus on retrieval-augmented generation (RAG), conversational RAG (CRAG), LangChain, LangFlow, and LanceDB. You will be responsible for designing, building, and optimizing AI models and pipelines, ensuring scalable and efficient deployment using FastAPI, Kubernetes (K8s), and Docker. As a Senior AI Developer, your responsibilities will include developing and implementing AI solutions leveraging LangChain, LangFlow, and LanceDB. You will design and optimize retrieval-augmented generation (RAG) and conversational RAG (CRAG) pipelines, as well as build and deploy AI-driven applications using FastAPI for scalable and high-performance APIs. Containerizing applications using Docker and orchestrating deployments on Kubernetes (K8s) will also be part of your role. Additionally, you will integrate AI models with databases and vector stores to enhance search and retrieval capabilities. Collaborating with cross-functional teams to design and implement end-to-end AI solutions, ensuring code quality, scalability, and security of AI applications, and staying updated with the latest advancements in AI, ML, and NLP technologies are essential aspects of this position. The qualifications we are looking for include proficiency in LangChain and LangFlow, experience working with LanceDB or other vector databases, a strong understanding of RAG and CRAG methodologies, hands-on experience with FastAPI, expertise in containerization with Docker and orchestration with Kubernetes (K8s), experience in designing and deploying scalable AI solutions, proficiency in Python and relevant AI/ML frameworks, strong problem-solving skills, ability to work in an agile development environment, familiarity with cloud platforms (AWS, GCP, Azure), experience with FAISS, Pinecone, Weaviate, or other vector stores, knowledge of OpenAI, Hugging Face Transformers, LlamaIndex, or fine-tuning LLMs, familiarity with SupaBase and Jenkins, and understanding of API gateway and load balancer. Preferred qualifications include experience in deploying AI solutions in a production environment, knowledge of MLOps tools like MLflow, Kubeflow, or Airflow for managing AI pipelines, understanding of model fine-tuning and optimization techniques, experience with monitoring and maintaining AI applications post-deployment, familiarity with AWS SageMaker, GCP Vertex AI, or Azure AI Services, and understanding of data privacy, model security, and ethical AI practices. Founded in 1986, Chiposoft is a leading software services firm based in New Delhi, India, focused on AI powered solutions and products. With almost four decades of experience, we have built a reputation for technical excellence, deep business process understanding, and customer-centric solutions. Our expertise spans AI-driven solutions, enterprise applications, and digital platforms that empower organizations to streamline operations, enhance engagement, and drive innovation. At Chipsoft, we pride ourselves on delivering state of the art, reliable, and scalable solutions while maintaining a dynamic and collaborative work environment. Our growing team of skilled professionals thrives on innovation and problem-solving, working on cutting-edge technologies and global projects, including clients in India, the US, the UK, Middle East, and Africa. As we expand our reach and explore AI-powered solutions through strategic partnerships, we are looking for talented and passionate professionals to join our team. If you are eager to work on exciting projects, cutting-edge technologies, and make a real impact, we invite you to be part of our journey. Join us and shape the future of digital transformation!,

Job Title: AI Developer Company: Technodysis Pvt Ltd Location: Bangalore Experience: 3 - 5 Years Notice Period: Immediate Joiners Preferred Job Description: We are looking for a passionate AI Developer to design and build intelligent AI agents, integrate LLMs, and leverage agentic AI frameworks to deliver next-gen AI solutions. Key Responsibilities: Design, build, and maintain AI agents with reasoning and planning capabilities Integrate and fine-tune LLMs (OpenAI, Google, open-source models) Implement frameworks like LangChain, AutoGen, CrewAI Develop and integrate APIs/tools for automation and data interaction Manage vector databases and knowledge graphs for contextual understanding Work closely with product, engineering, and data science teams Stay updated with AI/ML advancements and apply them in projects Required Skills & Qualifications: Bachelors degree in Computer Science, AI, or related field 35 years of experience in AI/ML development Strong Python skills; hands-on with TensorFlow, PyTorch, scikit-learn Experience with LLMs, prompt engineering, and fine-tuning Exposure to agentic frameworks (LangChain, AutoGen, CrewAI) Knowledge of vector DBs like Pinecone, Weaviate Familiarity with Git, CI/CD, and software best practices If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com