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AI Engineer GenAI & Multi-Agent Systems Role Overview We are looking for a highly skilled AI Engineer specializing in Generative AI and Multi-Agent Systems to design and deploy intelligent, autonomous solutions. This role focuses on building LLM-powered, agent-driven architectures that can reason, collaborate, and execute complex workflows across enterprise systems. You will work on cutting-edge Agentic AI frameworks, enabling systems that go beyond prediction to decision-making, orchestration, and autonomous execution. Key Responsibilities 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 Required Skills & Qualifications Bachelors/Masters in Computer Science, AI, or related field 38 years experience in AI/ML with solid focus on Generative AI Solid Python development skills Hands-on experience with: o LLMs & GenAI frameworks: OpenAI, Hugging Face Transformers o Agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel o RAG pipelines & vector DBs: FAISS, Pinecone, Weaviate Experience building API-driven, tool-integrated AI agents .
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