Generative AI Engineer
Quest Global (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop enterprise-grade Generative AI and LLM applications including RAG pipelines and AI agents integrated with enterprise data.
- Develop, deploy, and monitor production-ready AI services and APIs using Python (FastAPI/Flask) on cloud platforms (Azure, AWS, GCP) using Docker and CI/CD pipelines.
- Ensure solution quality by evaluating for accuracy, security, latency, and implement guardrails against prompt injection and data leakage while collaborating with cross-functional teams to transition from PoC to production.
Minimum Requirements
- 5+ years experience in software engineering, AI, or machine learning.
- Strong proficiency in Python programming and REST API development with software engineering fundamentals.
- Hands-on experience with LLMs, prompt engineering, RAG, embeddings, vector search, and relevant AI frameworks (e.g., LangChain, LlamaIndex).
- Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker), CI/CD, and knowledge of Responsible AI and security guardrails.
Ideal Candidate Profile
- Experienced in integrating and operationalizing enterprise Generative AI solutions at scale including development of AI agents and hybrid search pipelines.
- Practical familiarity with LLM evaluation metrics and deploying secure, scalable AI services in cloud environments.
- Comfortable working in multi-disciplinary teams bridging product, architecture, and business stakeholders to progress AI use cases from prototype to production.