Job summary
A leading technology firm is seeking an AI Systems Engineer to design and optimize Retrieval-Augmented Generation (RAG) pipelines and multi-agent AI workflows. The role demands expertise in LLM orchestration and production-grade deployments. You will collaborate across teams to build scalable AI systems. Candidates should have a Bachelor's or Master's degree in Computer Science and 1–3 years of relevant experience. This is a mid-level, full-time role based in Bengaluru, Karnataka, India.
Benefits
Collaborative environment fostering continuous learning
Opportunity to work with cutting-edge AI technologies
Qualifications
1–3 years of experience in AI/ML system development, deployment, and optimization.
Strong experience with vector databases like pgvector, Milvus, Weaviate.
Experience with CI/CD automation using GitLab or similar tools.
Responsibilities
Lead design, development, and optimization of RAG pipelines.
Work with data and product teams to build scalable AI systems.
Monitor and enhance AI system observability.
Skills
Python
Deep understanding of Retrieval-Augmented Generation (RAG)
Proficiency in prompt engineering
Hands-on experience with Docker and Kubernetes
Education
Bachelor's or Master’s degree in Computer Science or related field
Tools
FastAPI
Flask
Vector databases
GitLab