About this role
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.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- 8+ years in software engineering with direct ownership of systems in production; agentic systems personally built and shipped, not prototypes or proofs of concept.
- Strong Python plus at least one of TypeScript/JavaScript or Go, with demonstrable testing, review and maintainability practice.
- Hands-on experience with LangGraph (or equivalent agent orchestration), embedding concepts and retrieval-augmented generation, and LLM observability tooling such as LangFuse.
- Working knowledge of Kubernetes, Docker, PostgreSQL and Elasticsearch, alongside REST/GraphQL APIs, OAuth and scoped credential handling.
- Observability and delivery engineering: structured logging, distributed tracing, CI/CD pipelines and automated quality gates.
Desirable Requirements
- Experience building MCP servers or agent tooling, or extending AI coding assistants such as Claude Code, GitHub Copilot or Cursor.
- LLMOps experience in production (versioning, staged rollout, regression detection) and familiarity with the OWASP Top 10 for LLM Applications.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 15-Nov-26
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.