Gen AI Engineer

· Build QE-generation agents on GenRuntime: agents that consume artifacts the GenOS dev flow already produces - requirements, code diffs, API specs, GenUX component usage - and emit functional, API, and regression test assets as validated, structured output.

· Wire QE enablement into the paved road: an app scaffolded through GenOS gets QE agents attached by default - no opt-in ceremony, self-serve onboarding, zero hand-holding.

· Build the agent toolbelt as reusable GenRuntime tools: test execution, self-healing selectors and API contracts, failure triage, defect summarization - including agent-to-agent patterns where test agents interrogate the application’’s own agents.

· Extend AI Workbench eval primitives (LLM Leaderboard, prompt evaluation) into release gates for GenAI applications: golden datasets, LLM-as-judge scoring, statistical quality thresholds enforced in paved-road CI/CD - not just model selection.

· Embed GenSRF coverage into generated tests: safety, privacy, and moderation regressions become executable test cases, not audit findings.

· Integrate with Feature Management so QE-agent rollout is flagged, measured, and adoption-tracked per product team.

· Write well-tested, production-grade code; participate in reviews and design discussions - PR merge velocity and AI-assisted code in PRs are tracked org KPIs.

· Participate in the production support/on-call rotation for the QE capability surface (rotation shape and compensation treatment per Open Items).

· Contribute self-serve onboarding docs and inner-source repos - inner-source contribution is a tracked PDX metric.

GenOS is Client’’s Generative AI Operating System - the platform every GenAI experience at Client is built, deployed, and governed on, including the customer-facing Client Assist. The stack:

· GenStudio - LLM sandbox and extensible model catalog; new models onboarded in days.

· AI Workbench - versioned Prompt Management and the LLM Leaderboard for benchmarking.

· GenRuntime - GenOrchestrator (planner, executor, memory, retrieval) plus agents and tools grounding LLMs in Client domain knowledge.

· GenUX - 140+ AI UX components consumed by product teams.

· GenSRF - security, risk, and fraud guardrails as a platform feature, not an afterthought.

· Multi-LLM catalog: Anthropic Claude via AWS Bedrock, Gemini, Llama, and Mistral., · 7+ years backend/platform engineering (Java, Python, or Go) with deep distributed-systems fundamentals: async processing, caching, idempotency, failure handling.

· 2-3+ years building LLM-powered systems in production, not prototypes: agent/orchestration frameworks (LangChain / LlamaIndex / homegrown), structured tool calling, prompt versioning and evaluation.

· Structured-output engineering at production grade - generated tests are code artifacts: schema enforcement, output validation, and repair loops are the daily job.

· Demonstrated QE domain depth: has built or owned test automation architecture - framework design, CI quality gates, flaky-test economics - enough to encode that judgment into agent behavior.

· A platform engineer who has never owned a test suite will build QE agents that generate garbage confidently.

· One major LLM provider at scale - AWS Bedrock strongly preferred - with real operational scars: rate limits, latency variance, provider failover, version drift.

· AWS + Kubernetes deployment depth (services run on Client Kubernetes Service).

· Fluent in AI-assisted development workflows - Copilot-class tooling is the expected daily working mode.

Nice-to-Have

· LLM evaluation engineering: golden datasets, LLM-as-judge calibration, mutation testing or fault injection to validate generated-test quality.

· MCP tool integrations; SSE/WebSocket streaming for agentic responses.

· Vector stores and retrieval in production (OpenSearch / pgvector / Pinecone or equivalent).

· Multi-tenant enterprise platforms under strict security/compliance; fintech background.

· Open-source / inner-source contribution record.

Since our inception in 2013, Alchemy has been dedicated to reshaping organizational performance through innovative IT services. With a vision to empower businesses seeking a transformative edge, we’ve positioned ourselves at the forefront of digitization and software modernization.

Our name reflects our mission: to transmute technology into gold-standard solutions for our esteemed clients. We proudly serve a diverse range of sectors, including IT and ITES, BFSI, Telecom and Media, Automotive, Manufacturing, Energy, Oil and Gas, Real Estate, Retail, Healthcare, and more.

With a global footprint spanning the USA, India, Europe, Canada, Singapore, Japan, and parts of Central and West Africa, we harness a unique blend of competencies, frameworks, and cutting-edge technologies. Together, we drive growth and innovation across industries, helping organizations turn their visions into reality.