Staff Software Engineer - AI

TechGrove is the Centre of Excellence for Banyan Software , based in Chennai, India. It plays a key role in supporting Banyan’s global businesses through technology, security, and software development. TechGrove brings together India’s deep pool of technical talent with Banyan’s long-term approach to growth, creating a trusted, developer-focused environment where people can do their best work. About Element34 For years, Element34 has run large-scale test execution for enterprises that can't send their testing to a public cloud. Banks, insurers, healthcare companies and other regulated organizations use our platform, SBOX, to run thousands of Selenium, Playwright and Appium sessions in parallel on their own infrastructure. Now we're building an AI-native platform for the whole end-to-end test lifecycle: authoring, execution, failure analysis, triage and self-healing maintenance, with LLMs and agents at the core of each stage rather than added on afterward. We're a small, senior engineering team and we plan to stay that way. We have no layers of management, no handoffs between teams and no separate infra group. Each engineer owns a problem from design through production. The Role This is a hands-on Staff Engineer role with no direct reports. Your influence comes from the systems you design, the code you write and how you raise the engineering bar for the people around you. About 90% of your time will be backend work in Java or Go: distributed systems, concurrency, data pipelines, AI and agent infrastructure, and performance work. The other 10% is frontend work in React. This is not CRUD or API plumbing. You'll work on orchestration, scheduling, high-throughput ingestion, retrieval quality, agent reliability and performance problems that don't have a ready-made answer. What You'll Do Build the AI core of the platform. Design and ship LLM-powered features and autonomous agents that author tests, diagnose failures, find root causes and repair broken tests. Build RAG and retrieval systems over test artifacts, logs, traces, DOM snapshots and code. You'll own chunking, embeddings, hybrid search, ranking and context construction, and measure retrieval quality rigorously. Make AI production-grade. Build evaluation harnesses, guardrails, observability, cost and latency controls, and fallbacks so agents behave predictably in enterprise environments, including self-hosted and air-gapped ones. Design and build core platform systems in Java or Go, including session...

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