Staff AI Backend Engineer

3 weeks ago

Delhi, 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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