Essential Job Functions:

- Implements technical solutions and management processes to achieve overall objectives by means of implementing systems or enterprise- wide solutions, using the company's or a third-party's hardware/software products and/or processes and methodologies

- Integrates solutions and strategies within the customer environment, based on the analysis of customer business goals, objectives, needs, and existing systems infrastructure Identifies additional product/services sales opportunities

Qualifications:

- 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

- Solid 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

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