Location: Bengaluru

Work mode : 5 Days office

Interview: Face to Face

Notice Period: Immediate to 15 days

Role & 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
- Robust programming proficiency in Python andat 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
- Bachelors or masters degree in computer science or a related field, or equivalent practical experience

Preferred Skills and Qualifications

- Experience applying AI within a security domain such as application security, DevSecOps, vulnerability

management, code analysis, or software supply-chain security
- Experience building MCP servers or agent tooling, or extending AI coding assistants such as Claude Code,

GitHub Copilot, or Cursor
- Working knowledge of agentic frameworks and orchestration libraries, and judgment about when to use

them
- Experience with LLMOps in production, covering versioning, staged rollout, and regression detection
- Familiarity with the OWASP Top 10 for LLM Applications and with secure development practice
- Experience ramping quickly onto an unfamiliar codebase and becoming productive in it

📌 Consultant, IT Architecture - India_AGS (Bengaluru)
🏢 SP Software
📍 Bengaluru