Senior Gen AI + Agentic AI Developer

Job Title:

Experience:

Location:

Client:

Job Overview:

We are hiring experienced and passionate professionals with strong expertise in Generative AI and Agentic AI frameworks. As a Gen AI + Agentic AI Developer, you will be responsible for designing, developing, and deploying intelligent, autonomous agent-based solutions using cutting-edge technologies. You’ll work closely with cross-functional teams to build scalable AI systems powered by modern LLMs and deployed on cloud infrastructure.

Key Responsibilities:

• Design, develop, and deploy Agentic AI solutions using frameworks such as

  Microsoft Autogen

  ,

  CrewAI

  , or

  Lang Graph

  .
• Build robust pipelines and workflows for

  LLM-based agent orchestration

  .
• Integrate third-party APIs, tools, and services to enhance autonomous agent behaviors.
• Deploy and manage solutions on

  AWS infrastructure

  (Lambda, S3, EC2, SageMaker, etc.).
• Collaborate with

  Machine Learning Engineers

  ,

  Data Scientists

  , and

  Product Teams

  to deliver and scale intelligent solutions.
• Optimize AI agents for

  performance

  ,

  efficiency

  , and

  robustness

  .
• Conduct thorough

  code reviews

  , enforce best coding practices, and contribute to architectural decisions.

Required Skills & Qualifications:

• Strong Python development skills

  with a focus on modular, clean, and maintainable code.
• Hands-on experience with

  AWS services

  : S3, EC2, Lambda, API Gateway, SageMaker.
• Practical knowledge and implementation experience with at least one Agentic AI framework:
• Microsoft Autogen
• CrewAI
• LangGraph
• Familiarity with

  Large Language Models (LLMs)

  such as OpenAI, Claude, or Mistral.
• Experience in building

  multi-agent workflows

  and managing

  agent state transitions

  .
• Solid understanding of

  asynchronous programming

  in Python.
• Exposure to

  FastAPI

  or

  Flask

  for API/service deployment.

Preferred (Good to Have):

• Experience with

  LangChain

  ,

  RAG architectures

  , or

  vector databases

  .
• Familiarity with

  CI/CD pipelines

  (e.g., GitHub Actions).
• Experience with

  Docker

  and

  Kubernetes

  for containerization and orchestration.
• Understanding of

  Reinforcement Learning

  or

  agent-based simulations

  .