Senior GenAI Engineer

Role overview

Senior GenAI Engineer at Ascendion

You will play a critical role in designing robust architectures and owning end-to-end delivery of production-grade AI applications.

We are seeking a Senior GenAI Engineer with 5–7 years of experience who has independently built and deployed scalable GenAI systems.

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 and skills

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

Employment details

• Location: Bangalore [Pune] [Chennai] [Hyderabad] [India]