Senior Software Engineer (TypeScript / Node.js)

Role Summary

We're hiring an expert TypeScript / Node.js engineer to build production-grade GenAI services and developer tools. You'll design and ship APIs, microservices, and prompt / LLM workflows on Google Cloud-leveraging Vertex AI, Gemini models, and the Gemini CLI-to deliver reliable, secure, and measurable business impact.

• Design, implement, and own backend services in TypeScript / Node.js (Express / NestJS).
• Build LLM-enabled features (retrieval, tool use, structured outputs) using Vertex AI and Gemini models; automate workflows with Gemini CLI .
• Create, version, and evaluate prompts (zero / one / few-shot), including guardrails, safety filters, and offline / online prompt A / B tests .
• Develop RAG and function / tool-calling pipelines; integrate vector stores and scalable embeddings on GCP.
• Ship resilient APIs on Cloud Run / Functions / GKE , with Pub / Sub events, caching, and observability (Logging, Trace, Metrics).
• Establish LLM evals (quality, latency, toxicity, hallucination) and telemetry / feedback loops for continuous improvement.
• Harden services for security, privacy, and compliance (PII handling, data residency, secrets management).
• Collaborate with product, ML, and UX to scope, estimate, and deliver features in iterative milestones.
• Champion performance (p95 latency), cost efficiency (tokens / req), and reliability (SLOs, error budgets).
• Mentor engineers on GenAI patterns, prompt engineering, and TypeScript best practices.
• Building backend systems with TypeScript / Node.js ; expert in language / runtime internals, async patterns, and performance profiling.
• Production experience with Google Cloud and Vertex AI (endpoints, model registry, evals) and Gemini models (text, multimodal, function calling).
• Hands-on with Gemini CLI for rapid experimentation, prompting, and workflow automation.
• Proven prompt engineering skill : prompt design / versioning, system prompts, safety strategies, and measurable eval frameworks.
• Strong with REST / GraphQL , API contracts, schema validation (OpenAPI / Zod), and automated testing (Jest / Vitest).
• CI / CD (Cloud Build / GitHub Actions), IaC (Terraform), and containerization (Docker).
• Observability mindset : structured logging, distributed tracing, metrics / alerts.
• Solid security fundamentals (OAuth2 / JWT, least privilege IAM, secret rotation, threat modeling).

Tech Stack

Vertex AI , Gemini models , Gemini CLI .