Dell Technologies · KA, India
Skills: TypeScript, JavaScript, Python, SQL, Docker, GraphQL
Applied AI Engineer
The Security Resiliency Organization is rebuilding fragmented, manually-run security processes into consolidated, AI-native workflows that run in production at scale. As the most senior IC on the applied AI team, you will set the engineering standard the rest of the team builds against and own the hardest implementation problems.
Join us as an Applied AI Engineer on our Security Resiliency team in Bangalore to do the best work of your career and make a profound social impact.
What you'll achieve
You will set the technical bar for how AI-native security workflows are built, instrumented and hardened for production.
You will own consolidation of duplicated processes into single, reusable implementations that every dependent function shares.
You will establish the reusable agent patterns, context strategy and integration surfaces that every later workflow builds on.
You will:
Architect agentic implementations using LangGraph (or equivalent orchestration) – sub-agent delegation, state and checkpoint handling, and deterministic gating and verdict logic – from approved solution designs.
Own context engineering end to end: retrieval and search, memory, embedding-based grounding against enterprise data, prompt assembly and schema-constrained output under real payload sizes.
Instrument production systems with LangFuse (or equivalent) for tracing, token/cost accounting and latency measurement, deploying on Kubernetes and Docker with PostgreSQL and Elasticsearch as the data and retrieval layers.
Work directly with functional owners to establish operational detail a design does not carry, and re-engineer the process itself rather than reproducing it step for step.
Resolve production defects escalated from agent operations at root cause, and raise design gaps to the solution owner rather than resolving them unilaterally in code.
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