Artificial Intelligence Engineer

Sonata Software; Bengaluru; Presencial; INR 2.400.000 - 4.200.000; Jornada completa

Descripción de la vacante

Sonata Software seeks a senior software engineer with 12+ years of experience and direct ownership of production systems. The role emphasizes building agentic systems, strong Python and at least one of TypeScript/JavaScript, Go, with emphasis on testing, code quality, and maintainability.

You will work on agent loops, context engineering, and cost-aware engineering, while re-engineering workflows toward automation and scalable integration patterns.

Formación

• 12+ years of software engineering experience with ownership of production systems.
• Hands-on implementation across agent loops, context engineering and observability.
• Proficient in Python and one of TypeScript/JavaScript, Go; strong testing, reviews and maintainability practices.
• Experience replacing manual processes with automated software and integrating REST/GraphQL APIs.

Conocimientos

12+ years exp

Agentic systems ownership

Python

TypeScript/JavaScript

Go

Testing & QA

Agent loops

Context engineering

Automated testing

Cost optimization

Process reengineering

Automation of processes

REST/GraphQL

Observability & CI/CD

Autonomy

Herramientas

CI/CD pipelines

Descripción del empleo

• 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