AI Engineer

Role & responsibilities:

Technical Skills: Python, LangGraph, LangFuse, LLM must haves + Typescript/JavaScript. Hands on Production based Implementation experience is mandate.

Bachelors or master’s degree in computer science or a related field, or equivalent practical experience

Client : Dell

Location : Bangalore

Interview Mode: F2F mandatory*

Key Responsibilities:

• 12+ years in software engineering with direct ownership of systems in production 
• Agentic systems you personally built and shipped into production, not prototypes, notebooks, or proofs of concept 
• Strong programming proficiency in Python and at least one of TypeScript/JavaScript, Go, or an equivalent language, with demonstrable code quality practice covering testing, review, refactoring, and maintainability
• Hands-on implementation experience across: 
• Agent loops and tool calling: loop control, sub-agent delegation, state management and checkpointing, and idempotent handling of consequential actions
• Context engineering: retrieval and search, memory, grounding in enterprise data, prompt assembly, and structured or schema-constrained output 
• Testing and validation: automated tests for behavior that varies between runs, regression suites, and validation against defined acceptance criteria 
• Cost and latency engineering: token accounting, prompt and response caching, model routing with fallback, and context compaction 
• Process re-engineering experience: analyzing an existing workflow and rebuilding it around what automation makes possible, rather than encoding current practice into software 
• Experience replacing an existing manual or fragmented business process with software, working directly with the people who perform that process today 
• Integration engineering: REST and GraphQL APIs, event-driven consumers, OAuth and scoped credential handling, schema and contract versioning, and resilient behavior under partial failure
• Observability and delivery engineering: structured logging, distributed tracing, and metrics for systems whose behavior varies between runs, plus CI/CD pipelines, automated quality gates, and containerized deployment 
• Ability to work independently from written specification, deliver against committed timelines, and communicate progress and blockers without prompting 
• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience