Senior Data Engineer (AI/ML)

Senior Data Engineer (AI/ML) at Jobgether scores 91 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (India)seniorFull-time

AI in this role

ragai-agents

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (AI/ML) based in India.

As a Senior Data Engineer (AI/ML), you will build the data and AI infrastructure powering next-generation intelligent products and experiences.
You will combine modern data engineering with Generative AI, working across LLMs, RAG, embeddings, vector search, and AI agents.
The role involves designing scalable data platforms and production-grade pipelines for training, inference, evaluation, and retrieval workloads.
You will collaborate closely with data scientists, ML engineers, software engineers, and product teams to turn innovative prototypes into reliable systems.
Your work will help establish strong foundations for data quality, governance, observability, performance, and cost efficiency.
This is an opportunity to shape AI-enabled data products while working with large-scale distributed and streaming technologies in a global environment.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI Agents

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Rag and AI Agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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