Staff AI Backend Engineer (AWS / Node.js / TypeScript)

Location : Remote (India-based candidates preferred)

Employment : Full-time (Hired through VS Technology , working on ServeFirst product)

ServeFirst 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 OpenAI / Claude APIs and frameworks like LangChain . 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, SageMaker, 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 / TypeScript , with MongoDB (Mongoose) , Redis , and schedulers ( cron / EventBridge ).

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 / TypeScript experience

Strong system design skills (event-driven, autoscaling systems)

Production LLM workflow experience (OpenAI, Claude, Bedrock, etc.)

Hands-on with LangChain / agentic frameworks / workflow automation

Proven track in deploying / scaling AI infra (Bedrock, SageMaker, containers)

MongoDB & 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 SaaS background

Experience with Bedrock, LangChain, or RAG-native infra

LLMOps exposure (prompt versioning, feedback loops, telemetry)

GCP infra knowledge

React familiarity / empathy for frontend engineers

Incident response & blameless postmortems