Senior Principal Software Engineer - IT

Dell Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Dell Technologies in Bengaluru is hiring an Applied AI Engineer to lead the design and implementation of AI-native security workflows at scale. You will own the most challenging problems and set engineering standards for the team, collaborating with product and security stakeholders.

Join a team rebuilding fragmented processes into consolidated, production-ready systems, with a focus on LangGraph, embedding strategies, and observability.

Qualifications

• 12+ years in software engineering with production ownership.
• Strong Python plus TypeScript/JavaScript or Go with code-quality practice at scale.
• Hands-on experience with LangGraph, embedding, retrieval-augmented generation and LLM observability tools like LangFuse.
• Production-grade Kubernetes, Docker, PostgreSQL and Elasticsearch, plus REST/GraphQL APIs and OAuth.
• Process re-engineering to modernize manual workflows and automate agentic systems.

Responsibilities

• Set engineering bar for AI-native security workflows built and deployed in production.
• Consolidate duplicated processes into reusable, shared implementations.
• Establish reusable agent patterns, context strategy and integration surfaces for future workflows.
• Architect agentic implementations using LangGraph and manage sub-agent delegation and gating logic.
• Own context engineering end-to-end: retrieval/search, memory, embeddings, and schema-constrained prompts.
• Instrument production systems with LangFuse for tracing, cost, and latency; deploy on Kubernetes/Docker.
• Collaborate with owners to define operational details and improve the process rather than duplicating it.
• Resolve production defects at root cause and raise design gaps to the solution owner.

Skills

Python

TypeScript/JavaScript

Go

LangGraph

LangFuse

Kubernetes

Docker

PostgreSQL

Elasticsearch

REST/GraphQL APIs

OAuth

Tools

LangGraph

LangFuse

Kubernetes

Docker

PostgreSQL

Elasticsearch

Job description

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

1. You will set the technical bar for how AI-native security workflows are built, instrumented and hardened for production.

2. You will own consolidation of duplicated processes into single, reusable implementations that every dependent function shares.

3. 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.

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

• 12+ 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 one of TypeScript/JavaScript or Go, with deep code-quality practice (testing, review, refactoring) at scale.

• Deep hands-on experience with LangGraph (or equivalent), embedding concepts, retrieval-augmented generation and LLM observability tooling such as LangFuse.

• Production-grade command of Kubernetes, Docker, PostgreSQL and Elasticsearch, plus REST/GraphQL APIs, OAuth and scoped credential handling.

• Process re-engineering experience: rebuilding a manual or fragmented workflow around what agentic automation makes possible, working directly with the people who perform it today.

Desirable Requirements

• Experience building MCP servers or agent tooling, and working knowledge of agentic orchestration frameworks beyond LangGraph, with judgment on when to use them versus build custom.

• LLMOps in production and security-domain AI experience (application security, DevSecOps, vulnerability management, software supply-chain security).