Tesco · KA, India
Skills: Python, SQL
About the role
We are looking for a Senior AI Engineer to design and develop scalable solution supporting diverse Generative AI and Agentic AI use cases. The candidate should have hands-on experience in working on, and not limited to, multi-agent systems, AI orchestration frameworks, RAG, LLMs. You will be responsible to deliver reliable, extensible, and enterprise-grade AI solutions at scale, in collaboration with other Engineers.
You will be responsible for
Developing and deploying AI systems with a focus on agentic AI, utilizing emerging protocols such as MCP and A2A.
Building and refining Generative AI systems, including RAG and LLM applications, from initial concept to production.
Rapidly creating proof-of-concepts (POCs) to demonstrate new ideas and scaling successful ones into robust software solutions.
Implementing ML Engineering and MLOps best practices for model versioning, lifecycle management, and experiment tracking to manage the entire machine learning lifecycle.
Managing data flows and model calls within live, production-level services.
Building scalable and reliable infrastructure, considering trade-offs like cost optimization, availability, and on-premises vs. cloud deployment.
Staying current with evolving tools and technologies in the AI landscape.
You will need
Frameworks and Platform Experience:
At least one cloud AI stack experience. Azure preferred. Must have good experience on one datastore (PostGres, Couchbase/Redis). Must know how to write Rest-API (Python, FASTAPI). Whats in it for you?
At Tesco, we are committed to providing the best for you.
As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
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