Location: Any
Experience: 610 Years
Open Positions: 2
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
Skills: gen ai,agentic ai,llm
