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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy GenAI-powered applications including Retrieval-Augmented Generation (RAG), LLM integrations, and agentic workflows.
Develop, deploy, and maintain Python-based microservices and APIs (preferably using FastAPI) to support AI and automation use cases.
Build scalable data models, implement data quality frameworks, integrate AI services, and ensure production readiness including CI/CD and cloud deployment on AWS or Azure.
Minimum Requirements
7+ years experience designing and developing full-stack, AI-enabled applications with Generative AI and LLM integration.
Proficiency in Python programming and backend system development; experience with FastAPI for REST APIs.
Hands-on experience with Docker, Kubernetes, CI/CD, DevOps, and cloud platforms such as AWS or Azure.
Strong knowledge of data modeling, data pipelines, validation, and production-grade AI application deployment.
Ideal Candidate Profile
Experienced in integrating advanced AI capabilities like generative AI, RAG, and agentic workflows into enterprise solutions at scale.
Skilled in building and operationalizing Python microservices and scalable backend systems supporting high-volume AI workloads.
Comfortable working across cloud environments and integrating multiple AI, automation, and data services with a strong software engineering foundation.