Dell Technologies · KA, India
Skills: TypeScript, JavaScript, Python, SQL, Docker, GraphQL, CI/CD
Applied AI Engineer
The Security Resiliency Organization is rebuilding fragmented, manually-run security processes into consolidated, AI-native workflows that run in production, not in a notebook. This team works from approved solution designs directly with the functional teams whose work is being agentified, and owns the engineering all the way through to production reliability.
Join us an Applied AI Engineer in our SRO team in Bangalore to do the best work of your career and make a profound social impact.
What you'll achieve
You will build production-grade agentic workflows that replace manual and duplicated security processes across functional teams. You will deliver one consolidated implementation per process, engineered for reliability, cost and observability from day one. You will leave behind reusable components so every workflow after yours starts from existing code.
You will:
Build agentic implementations of security workflows using LangGraph (or an equivalent orchestration framework) – agent loops, sub-agent orchestration, state and checkpoint handling, and deterministic gating and verdict logic. Implement context strategy in code: retrieval and search, memory, embedding-based grounding against enterprise data sources, prompt assembly and schema-constrained output. Instrument every workflow for operations using LangFuse (or equivalent) for execution traces, token and cost accounting, and latency measurement, and engineer for cost/latency through caching, model routing and context compaction. Build and deploy on Kubernetes and Docker, with PostgreSQL for relational data and Elasticsearch for search/retrieval indexing, integrating against REST/GraphQL APIs, event consumers and MCP servers with scoped credentials. Harden systems against prompt injection and tool abuse, resolve production defects at root cause, and validate delivered workflows with functional owners before release.
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