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

- Robust 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)
🏢 Ascendion Engineering
📍 Bengaluru