Generative & Agentic AI Engineer

Job Description Job Title: Generative & Agentic AI Engineer Machine Learning / Data Engineering Background (3 Years Experience) Location: Hyderabad, India Work Mode: On-site (mandatory must work from office daily) Shift Timing: Evening Shift (3:00 PM 11:00 PM IST, to overlap with Canada time zone) About the Role We are looking for a hands-on Generative & Agentic AI Engineer with a strong foundation in Machine Learning and Data Engineering. The ideal candidate has around 3 years of total IT experience, including 12 years in ML/Data Engineering and at least 1 year in Generative AI with practical exposure to Agentic AI frameworks and Multi-Agent orchestration. This is a Hyderabad-based, on-site position in an AI-first environment where you'll design and deploy next-generation intelligent systems that combine reasoning, retrieval, and multi-agent collaboration. Key Responsibilities - Design and implement Generative & Agentic AI solutions integrating LLMs, retrieval systems, and agent frameworks. - Build and orchestrate multi-agent systems (e.g., Planner, Retriever, Generator, Evaluator, and Feedback agents) using frameworks like LangGraph, CrewAI, or Autogen. - Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases (FAISS, Pinecone, Weaviate, Chroma). - Collaborate with ML and Data Engineering teams to design scalable data pipelines, feature stores, and model-ready datasets. - Fine-tune, evaluate, and deploy LLMs via Hugging Face, OpenAI APIs, or Gemini models. - Implement context-aware reasoning and knowledge-grounding using LlamaIndex, Knowledge Graphs, or hybrid RAG architectures. - Integrate models via FastAPI / Flask, ensuring scalable and secure deployment through MLOps / LLMOps workflows. - Work closely with product and research teams to deliver high-impact, reliable AI applications aligned with enterprise standards. Required Skills & Experience - Education: B.Tech / M.Tech / M.Sc. in Computer Science, AI, or Data Science. - Experience: - 3 years overall in IT. - 12 years in Machine Learning or Data Engineering. - 1 year in Generative AI (LLMs, RAG, fine-tuning, or agent development). - Demonstrated work with Agentic AI / Multi-Agent frameworks. - Technical Skills (NOT ALL SKILL SETS ARE MANDATORY): - Programming: Python, SQL, PySpark. - LLM Ecosystem: LangChain, LlamaIndex, Hugging Face, OpenAI, Gemini. - Agentic AI Tools: LangGraph, CrewAI, Autogen, or similar orchestration frameworks. - Data Stack: Airflow, Spark, BigQuery, Snowflake. - Vector Databases: FAISS, Pinecone, Weaviate, Chroma. - API Development: FastAPI, Flask, RESTful API integration. - DevOps / Cloud: Git, Docker, Kubernetes, Vertex AI, AWS Bedrock, or Azure AI Studio. - ML Stack: PyTorch, TensorFlow, Scikit-learn. Preferred Experience (Nice to Have) - Built multi-agent ecosystems for document reasoning, chat orchestration, or workflow automation. - Familiar with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. - Exposure to AI evaluation frameworks like RAGAS, Giskard, or Guardrails.ai. - Experience implementing AI governance, safety, or reliability mechanisms. - Contributions to open-source AI or multi-agent projects. Soft Skills - Strong problem-solving and analytical mindset. - Excellent communication for cross-functional collaboration. - Eagerness to learn and experiment with cutting-edge AI tools. - Ability to manage deliverables independently during overlapping time zones. Kindly Share me your updated resume Thank you Regards Uma T :7731881269 E: [Confidential Information]