Senior AI Engineer

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

• Minimum 5+ years of experience
• Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.
• Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.
• Experience deploying AI pipelines in production environments (microservices or distributed systems).
• Hands-on with vector DBs, semantic embeddings, and knowledge graphs.
• Solid grasp of LLM evaluation, memory management, and context-aware reasoning.
• Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).
• Strong understanding of system design, data pipelines, and cloud-based AI architectures.
  
  

Nice to Have

• Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.
• Experience building autonomous agents or self-improving task networks.
• Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.
• Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.
• Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.