Senior GenAI Engineer

Role Overview

We are seeking a Senior GenAI Engineer with 5–7 years of experience who has independently built and deployed scalable GenAI systems. You will play a critical role in designing robust architectures and owning end-to-end delivery of production-grade AI applications.

Key Responsibilities

• Design and implement scalable GenAI and RAG-based architectures
• Lead development using LangChain / LangGraph and advanced orchestration techniques
• Architect and optimize vector search systems and embedding pipelines
• Develop and deploy APIs and microservices for GenAI applications
• Take ownership of end-to-end lifecycle: design, development, testing, deployment, monitoring
• Optimize performance, latency, and cost of LLM-based systems
• Mentor junior engineers and contribute to best practices
• Collaborate with product and business teams to translate requirements into AI solutions
  
  

Required Skills

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

Preferred Qualifications

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