Senior AI Engineer (7+Yrs), Noida-58

About the Role

high-impact Senior AI Engineer

OpenAI, Claude, Gemini, Bedrock

Key Responsibilities

• Agentic AI Architecture

1. Build agent workflows using 

   LangGraph

   , 

   LangChain

   , 

   CrewAI

   , etc.
2. Integrate tool use, memory, and planning into autonomous systems.
3. Orchestrate interactions across multiple LLMs and backends (e.g. GPT → Claude → Gemini fallback).

• AI Coding & Developer Productivity

1. Use AI to improve dev team velocity: 

   code generation, testing, doc writing, PR reviews

   , etc.
2. Integrate 

   Copilot, Claud Code

   , Cursor etc and custom tools into the SDLC.
3. Drive cultural adoption of AI-augmented engineering practices.

• Multi-Cloud AI Ecosystem

-Deploy applications using:

1. Azure AI Foundry/ OpenAI

2. AWS Bedrock / Sagemaker / Kendra

3. Anthropic Claude

   , 

   Mistral

   , and open-weight models.

-Optimize for model quality, latency, and cost.

• RAG & Vector Search

retrieval-augmented generation (RAG)

1. Weaviate, Pinecone, Qdrant, Azure AI Search, Redis, etc.

-Customize chunking, embedding, ranking, and query rewriting.

• Infrastructure & MSP-Style Services

1. Build scalable backend APIs using 

   Python (FastAPI)

   , Node.js, etc.
2. Containerize and deploy agents via Docker / Kubernetes.
3. Build internal 

   MSP-style infrastructure

    for LLM endpoints and copilots.

• Team Collaboration & Impact

1. Collaborate with product and engineering teams to solve real business problems using AI.
2. Guide implementation decisions and mentor others in AI-native architecture.
3. Define KPIs and prove value through impact-driven rollouts.

Required Skills

• 7+ years software engineering (Python, API design, cloud infra).
• 3+ years hands-on with LLMs (OpenAI, Claude, Gemini, etc.).
• Proven experience with 

  agent frameworks

  , 

  tool use

  , 

  memory

  , 

  RAG

  , and 

  prompt engineering

  .
• Working knowledge of Azure, AWS, and Google Cloud AI offerings.
• DevOps know-how (Docker, CI/CD, observability).
• Strong communication and problem-solving mindset.

Nice to Have

• Experience building AI copilots, agent networks, or backend AI orchestration systems.
• Familiarity with secure deployment of LLMs and Responsible AI principles.
• Prior work building developer tools or agent interfaces.
• Knowledge of pricing, throttling, and routing across LLM providers.