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
Robust expertise in Python and backend development
Deep understanding of RAG pipelines and LLM architectures
Hands-on experience with LangChain / LangGraph
Solid 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

📌 Senior Genai Engineer Bengaluru (India)
🏢 Ascendion
📍 India