Senior Developer (Gemini)

Primary Skills : TypeScript/Node.js, Vertex AI, Gemini models, Gemini CLI. Secondary Skills : GCP (Cloud Run, Functions, GKE, Pub/Sub, Cloud Storage, Firestore/BigQuery, Secret Manager), 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. • 8+ years 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 • TypeScript, Node.js • GCP (Cloud Run, Functions, GKE, Pub/Sub, Cloud Storage, Firestore/BigQuery, Secret Manager), • Vertex AI, Gemini models, Gemini CLI.