About The Role
AI is not a feature in Foundry - it is the operating model. AI-assisted coding and product management is baked into how the team works, and AI-assisted solutioning is baked into what we ship: LLM-based data ingestion that auto-fills the Sizer from unstructured customer files, a constraint-solver recommendation engine that suggests robot configurations, semantic search over historical sizing sheets, and a Copilot that guides users through the solutioning journey. As the Staff Engineer, Applied AI you own all of this. You run the Applied AI capability as a chapter across all Foundry squads- setting the patterns, evaluation frameworks and API contracts that each squad implements rather than centralising all AI work in one team. You are expected to be the most technically credible AI engineer in the organisation, influencing architecture decisions across squads and setting the standard for how AI features are built, measured and shipped.
What You'll Do
- Build and own the recommendation engine - Design and implement the ML pipeline that recommends solution type (technology, layout, configuration) from customer inputs; own the feature store, training pipeline, model registry and serving layer.
- Build the constraint-solver intelligence - Implement the AI layer on top of the constraint solver: learned priors for solver warm-starts, anomaly detection for unusual input combinations, and automated sensitivity analysis.
- Build LLM-based data ingestion- Design the production pipeline that takes unstructured customer documents (PDFs, spreadsheets, emails) and extracts structured Sizer inputs using LLMs; handle uncertainty, partial extractions and human-in-the-loop review.
- Build the formulator engine and vector DB- Implement semantic search over historical sizing solutions and L1 data sheets; design the embedding pipeline, vector database and retrieval-augmented generation (RAG) layer.
- Define AI chapter patterns- Set the shared patterns that all squads adopt
📌 Staff Engineer- Applied AI (Bengaluru)
🏢 GreyOrange
📍 Bengaluru
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