01Responsibilities
- Design and build multi-agent AI systems capable of planning, reasoning, and task execution - Develop applications using LLMs (GPT, Claude, Llama, etc.) with advanced prompt engineering and orchestration - Implement Agentic workflows (planner - executor - critic - memory loops) - Build RAG (Retrieval-Augmented Generation) pipelines with vector databases for enterprise knowledge grounding - Develop tool-using agents that integrate with APIs, databases, and enterprise systems - Architect and deploy AI copilots and autonomous assistants for business workflows - Optimize LLM performance using fine-tuning, prompt chaining, and caching strategies - Implement short-term and long-term memory mechanisms (vector stores, knowledge graphs) - Design multi-agent collaboration protocols (hierarchical, swarm, role-based agents) - Deploy scalable solutions using MLOps & LLMOps practices (monitoring, evaluation, guardrails) - Ensure AI safety, governance, and responsible AI practices Professional & Technical Skills: - Experience building multi-agent orchestration systems with role-based coordination - Exposure to agent planning algorithms (ReAct, Plan-and-Execute, Tree of Thought) - Experience with LLM evaluation frameworks (RAGAS, TruLens, Promptfoo) - Knowledge of graph-based reasoning, knowledge graphs - Building autonomous systems or copilots in enterprise environments - Domain experience in industrial, energy, or IoT environments - Systems thinking for designing autonomous AI architectures - Strong problem decomposition for agent task design - Ability to balance latency, cost, and accuracy in LLM systems - Communication with business stakeholders to translate workflows into agent pipelines - Innovation mindset with focus on applying agentic AI in production - 38 years' experience in AI/ML with strong focus on Generative AI - Strong Python development skills - Hands-on experience with: - LLMs & GenAI frameworks - OpenAI, Hugging Face Transformers - Agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel - RAG pipelines & vector DBs- FAISS, Pinecone, Weaviate - Experience building API-driven, tool-integrated AI agents - Strong understanding of - - Prompt engineering & prompt optimization - Chain-of-thought reasoning and tool augmentation - Context management and token optimization - Experience with cloud platforms (Azure OpenAI preferred, AWS/GCP acceptable) - Knowledge of Docker, Kubernetes, CI/CD pipelines Additional Information: - The candidate should have minimum 3 years of experience in Generative AI. - This position is based at our Pune office. - A 15 years full time education is required. .
