Senior GenAI Engineer

Role Overview

We are hiring a Senior GenAI Engineer with 5–7 years of experience who has independently designed, built, and deployed scalable GenAI solutions. In this role, you will be responsible for developing resilient architectures and delivering production-ready AI applications end to end.

Key Responsibilities

• Design and implement scalable GenAI and RAG-based architectures
• Drive development using LangChain / LangGraph and advanced orchestration approaches
• Architect and optimize vector search systems and embedding pipelines
• Build and deploy APIs and microservices for GenAI applications
• Own the end-to-end lifecycle, including design, development, testing, deployment, and monitoring
• Improve performance, latency, and cost efficiency for LLM-based systems
• Mentor junior engineers and help establish best practices
• Partner with product and business teams to convert requirements into AI solutions
  
  

Required Skills

• Strong proficiency in Python and backend development
• In-depth knowledge of RAG pipelines and LLM architectures
• Hands-on experience with LangChain / LangGraph
• Proven experience with Vector Databases (Pinecone, Weaviate, FAISS, etc.)
• Track record of deploying applications on cloud platforms (AWS/GCP/Azure)
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Strong understanding of system design principles and scalability
  
  

Preferred Qualifications

• Experience delivering enterprise-grade GenAI applications in production
• Familiarity with LLMOps / MLOps practices
• Exposure to multi-agent systems
• Experience with monitoring tools and observability