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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and productionize enterprise-grade AI solutions using LLMs, Agentic AI frameworks, and RAG architectures.
Own end-to-end AI project lifecycle from proof of concept to scalable, secure, reliable production deployment.
Collaborate cross-functionally to convert AI POCs into production-grade solutions while ensuring reliability, cost controls, and Responsible AI practices.
Minimum Requirements
Experience with .NET / C# integration and backend interoperability.
Proficiency with MongoDB, Redis, and event-driven architectures.
Hands-on knowledge of model fine-tuning techniques (including LoRA), embedding model evaluation, multimodal AI (vision, speech).
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, India; Full-time; No travel.
Ideal Candidate Profile
Experienced in developing scalable AI services leveraging Azure OpenAI, Claude, foundation model APIs, and cloud-native deployments (Docker, AKS, Azure Container Apps).
Skilled in designing robust prompt engineering, RAG pipelines, and fault-tolerant architectures with observability and optimization focus.
Familiar with Responsible AI implementation, Human-in-the-Loop workflows, and evaluation frameworks such as Ragas, Promptfoo, and Azure AI Evaluation SDK.