Senior AI Engineer

About the role

Partnering with product, data science, and engineering teams, you will take systems from first prototype through production and the long tail of operating them: evaluation, monitoring, cost, and latency. You care about the craft of engineering as much as the model.

What you'll do

• Design, build, and ship production LLM applications and agentic systems end to end, owning the technical decisions from data through inference, serving, API exposure
• Build multi-agent and multi-step workflows: tool-calling, sequential handoffs, and scheduled or DAG-based orchestration
• Treat prompt and context engineering as a real discipline: structured prompts, output schemas, exclusion rules
• Build retrieval-augmented generation over vector indexes: chunking, embeddings, hybrid search, reranking, and evaluation of retrieval quality
• Own the production lifecycle of the systems you build: evaluation harnesses, monitoring and tracing, drift detection, prompt and version management

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• LLMs
• Python
• Statistics
• Prompt engineering
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Databricks
• MLOps
• Unity
• Azure
• Terraform
• Kubernetes