Gen AI Developer_5+ years

Location: Any

Experience: 6–10 Years

Open Positions: 5

Role Overview

We are seeking an experienced GenAI Developer to design, build, and deploy scalable generative AI solutions for enterprise use cases. The ideal candidate will have strong hands-on experience in building production-grade AI/ML systems, with deep expertise in LLMs, RAG architectures, and AI orchestration frameworks.

Key Responsibilities

• Design and develop Generative AI applications using LLMs and advanced AI frameworks

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models

• Develop and implement Agentic AI systems (multi-agent workflows, supervisor agents, micro-agents, etc.)

• Integrate AI solutions with cloud platforms such as Azure or AWS

• Work with orchestration tools like LangChain, LangGraph, LlamaIndex, Airflow, or Prefect

• Fine-tune LLMs and implement prompt engineering best practices

• Collaborate with cross-functional teams to deliver scalable AI solutions

• Ensure production readiness, monitoring, and optimization of AI models

Must-Have Skills

• 5+ years of experience building production-level AI/ML solutions using Python

• Strong hands-on expertise in:

  • Retrieval-Augmented Generation (RAG)

  • Vector databases & embedding models

  • Retrieval optimization techniques

• Experience in Agentic AI systems (agent-to-agent communication, MCP, supervisor agents, micro-agents)

• Advanced experience with Azure AI (Azure OpenAI, Cognitive Services, Azure ML) OR
  AWS AI (Bedrock, SageMaker, LangChain integration)

• Strong experience with AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, Airflow, Prefect, etc.)

• Deep understanding of Large Language Models (LLMs), fine-tuning, and prompt engineering

Good-to-Have Skills

• Experience with SQL and DevOps practices

• Prior experience leading or mentoring development teams

• Exposure to CI/CD pipelines and scalable deployments