Job Description
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