Senior AI Engineer

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The Sr. AI Engineer will design, architect, and implement advanced AI systems leveraging multi-agent frameworks , RAG pipelines , and LLM orchestration layers . You’ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.

Key Responsibilities

• Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.
• Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.
• Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.
• Develop modular LLM pipelines combining tools, memory, and dynamic context switching.
• Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.
• Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.
• Build autonomous data ingestion and learning loops to continuously improve AI system performance.
• Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.
• Research and prototype new frameworks in agentic AI, self‑correcting systems, and multi‑modal reasoning.

Required Skills

Nice to Have

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