Description
We're looking for a Sr AI Engineer who has shipped AI products, not just prototyped them, with equal footing in core ML and contemporary GenAI. This role sits at the intersection of engineering rigor and product ownership, you'll build, deploy, and operate ML and LLM-powered applications on Azure, with real accountability for what happens after go-live: accuracy, cost, latency, safety, drift, and uptime.
If you've only worked in notebooks or built demos that never saw production traffic, this isn't the role. If you've had to explain to a stakeholder why a model started hallucinating in week three or had to design a rollback plan for a prompt change, we want to talk to you.
Responsibilities
What You'll Do
- Own end-to-end deployment of AI applications on Azure — from classical ML models and Azure OpenAI Service integrations through to production release, monitoring, and iteration.
- Build and evaluate core ML models where GenAI isn't the right tool — classification, regression, forecasting, clustering, or recommendation problems using traditional ML techniques.
- Design and implement guardrails — content filtering, prompt injection defence, PII redaction, output validation, and human-in-the-loop checkpoints for high-risk actions.
- Build and maintain MLOps/LLMOps pipelines — CI/CD for models and prompts, feature engineering and data pipelines, automated evaluation harnesses, versioning for models/prompts/embeddings/fine-tunes, and rollback mechanisms.
- Manage the model lifecycle — model selection and routing (classical ML vs. smaller LLMs vs. frontier models by task complexity and cost), performance benchmarking, cost-per-call/cost-per-inference tracking, and deprecation/upgrade planning.
- Implement observability — logging, tracing, and alerting for LLM applications (token usage, latency, hallucination/error rates, user feedback loops).
- Architect RAG and agentic systems — vector store design, retrieval tuning, orchestration frameworks (LangGraph, Semantic
📌 Senior AI Engineer (Bengaluru)
🏢 Wsp
📍 Bengaluru