Staff AI Backend Engineer

1 week ago

Nadiad, India Vs Technology IT Consultant Full time

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


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