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Generative AI Engineer

Location

Bengaluru, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Ascendion

Website: ascendion.com
Job details:

Job Title: Sr GenAI Engineer

Job Type: Full-Time

Work Mode: Hybrid

Location: Bellandur, Bengaluru

Interview Modes: F2F Interview (9th May)

Experience: 5 – 8 Years


Role Overview

We are seeking a Senior GenAI Engineer with 5–8 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
Click on Apply to know more.

Skills

LangChain
Python
AWS
Azure
backend
CI
Docker
end-to-end
GCP
Kubernetes
microservices