Generative AI Developer -LLM integration -up To 45 LPA -Contract

Location:

Role:

Type:

ongoing contract role with no fixed end date

Role Responsibilities

• Design, build, and maintain generative AI workflows and intelligent agent systems using

  Python

• Develop and deploy

  containerized microservices

  on cloud platforms such as

  AWS, GCP, or Azure

• Integrate with

  LLMs via APIs

  (e.g., OpenAI, Claude, Gemini) and apply

  prompt engineering best practices

• Build and maintain agent orchestration tools using

  LangChain, ReAct, CrewAI

  , or similar frameworks
• Manage data flow using

  vector databases

  (e.g., ChromaDB, Pinecone) and implement

  RAG (Retrieval-Augmented Generation)

  pipelines
• Handle

  API proxying

  , session management, and secure authentication (e.g.,

  JWT

  )
• Set up observability tools (e.g.,

  logging, tracing, monitoring

  ) for AI agents and services
• Work cross-functionally with distributed teams and

  document architectural decisions

  clearly
• Rapidly

  prototype and iterate

  using telemetry data, logs, and user feedback
• Enforce

  security best practices

  in GenAI implementations, including input sanitization and access controls

Required Skills & Experience

• 3–5+ years

  of Python development, including use of

  async programming

  and

  modular design patterns

• Experience with containerization tools like

  Docker or Podman

  , and deploying to cloud platforms
• Strong foundation in

  API design

  , including

  FastAPI

  , RESTful APIs, and

  WebSocket

  integrations
• Hands-on experience with

  at least one LLM agent/orchestration framework

  such as LangChain, AutoGen, or OpenAgents
• Understanding of

  prompt/response logging

  ,

  token usage tracking

  , and

  LLM cost optimization

• Familiarity with

  version control (Git)

  and

  CI/CD workflows

• Excellent

  written communication skills

  and ability to collaborate in

  remote/distributed environments

Nice-to-Have

• Experience with

  OpenTelemetry

  ,

  LangSmith

  , or other

  LLM evaluation frameworks

• Understanding of

  security and compliance

  in generative AI systems
• Prior work integrating with

  enterprise systems or third-party APIs

• Background in

  Natural Language Processing (NLP)

  ,

  Machine Learning

  , or

  cognitive architectures

updated resume