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Staff AI Backend Engineer (AWS / Node.js / TypeScript)
Vs Technology IT Consultantaurangabad, maharashtra, in16 days ago
Job descriptionBreak 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. 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 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
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
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Staff Engineer Ai • aurangabad, maharashtra, in
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