Description

You will build and scale GenAI and LLM-based applications from proof-of-concept to production.

Responsibilities

• Develop multi-step agent workflows using LangGraph or similar orchestration frameworks.
• Design retrieval pipelines including document loaders, chunking strategies, and embedding models.
• Integrate vector databases and implement Retrieval-Augmented Generation (RAG) patterns.
• Deploy cloud-native AI/ML solutions using GCP or Azure.
• Build and maintain microservices following standard software architecture patterns.

Required Skills

• 5+ years of software development experience with strong Python skills.
• 2–3+ years of hands-on experience building GenAI/LLM-based applications.
• Proficiency with vector databases such as Pinecone, ChromaDB, or FAISS.
• Experience with LLM APIs including OpenAI, Claude, or Gemini.
• Hands-on experience with Docker and Kubernetes.
• Working knowledge of Git and Azure DevOps.
• Experience deploying solutions on GCP or Azure.
• Solid understanding of API design and microservices.
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.

Key Skills

Education

Bachelor's or Master's degrees