Staff ai backend engineer

2 weeks ago

Gujarat, India Vs Technology IT Consultant Full time

Location: Remote (India-based candidates preferred) Employment: Full-time (Hired through VS Technology , working on Serve First product) Serve First is a scrappy, well-funded AI startup (recently closed a £4.5m seed round ) that’s redefining how businesses understand their customers. We transform raw customer feedback into real-time insights for companies that care deeply about CX. Our 2025 roadmap is ambitious : Break apart our Node.js monolith into scalable microservices Double our AI-driven workflows Harden our infra to handle 100× traffic growth Maintain a culture where everyone ships, everyone is on-call, bureaucracy is nil, and velocity is high This is a chance to join early, own core architecture decisions, and scale AI-first systems in production What You’ll Do Break up the monolith Define service boundaries, transition to microservices, and implement REST + SQS communication containerised on ECS Fargate . Own AI workflow integration Orchestrate AI workflows with Open AI/Claude APIs and frameworks like Lang Chain . Design multi-model pipelines (prompt orchestration, vector DBs, caching, telemetry) and lead our shift toward Bedrock/RAG-native infra . Build and scale AI infra Stand up inference/workflow infra on AWS (Bedrock, Sage Maker, containers). Ensure observability, security, and cost efficiency. Architect the AI platform Go beyond “just wrapping GPT.” Define orchestration vs. inference boundaries, expose tracing & prompt history, and build systems for experimentation & scale. Champion testing and correctness Enforce unit, integration, and load testing . Design clear contracts, mocks, and fast CI. Estimate, scope, deliver Break complex features into milestones, highlight risks, and communicate trade-offs clearly. Make it observable Implement structured logs, metrics, traces, alerts . Make LLM behavior traceable (token usage, prompt mutation). Think security first Handle sensitive customer data (PII, IAM, secrets management, GDPR readiness). Ship backend code Work in Node.js/Type Script , with Mongo DB (Mongoose) , Redis , and schedulers ( cron/Event Bridge ). Keep infra flexible AWS-first today, modular Terraform for GCP portability tomorrow. Mentor & raise the bar Lead reviews, mentor engineers, and reinforce best practices while maintaining velocity. ✅ Must-Haves 8+ years backend engineering; deep AWS + Node.js/Type Script experience Strong system design skills (event-driven, autoscaling systems) Production LLM workflow experience (Open AI, Claude, Bedrock, etc.) Hands-on with Lang Chain / agentic frameworks / workflow automation Proven track in deploying/scaling AI infra (Bedrock, Sage Maker, containers) Mongo DB & Redis tuning/debugging expertise Fluent with Terraform & Docker Testing mindset with CI/CD pipelines Strong async communication (docs, writing, code clarity) Security awareness (IAM, GDPR, SOC2 basics) Demonstrated ability to scope, build, and deliver complex features Nice-to-Haves CX / survey / analytics Saa S background Experience with Bedrock, Lang Chain, or RAG-native infra LLMOps exposure (prompt versioning, feedback loops, telemetry) GCP infra knowledge React familiarity / empathy for frontend engineers Incident response & blameless postmortems

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