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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade LLM-powered AI applications including conversational agents and multi-agent workflows.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines, prompt strategies, and tool/function calling for GenAI solutions.
Develop scalable Python backend services and deploy AI solutions on AWS using services like Lambda, ECS/EKS, SageMaker with CI/CD automation.
Minimum Requirements
8+ years of experience in AI/ML with strong hands-on expertise in Generative AI and large language models (LLMs).
Proficient in Python engineering with experience building asynchronous APIs and microservices.
Experience with GenAI frameworks such as LangChain, LangGraph, OpenAI Agents, or CrewAI.
Cloud-native deployment experience, preferably AWS (Lambda, ECS/EKS, SageMaker); Immediate notice period required.
Ideal Candidate Profile
Experienced technical leader comfortable owning end-to-end GenAI projects and delivering enterprise-grade solutions.
Demonstrated ability to design and deploy complete GenAI architectures integrating multiple AI components and cloud infrastructure.
Operates well in collaborative environments, working closely with product and engineering teams to advance Generative AI innovations.