Full Stack Developer with LLM experience

We’re looking for a Founding Full-Stack Engineer (backend-first, but frontend-capable) to join an early-stage US startup in the enterprise AI space.

If you’re confident scaling microservices, working with LLMs in production, and occasionally diving into React — we’d love to hear from you.

 

Your responsibilities will include:

  • Designing and scaling microservices and APIs (REST/GraphQL, Kafka/SQS, background jobs);
  • Working with PostgreSQL + pgvector: indexing, partitioning, performance tuning;
  • Building robust integrations with LLMs: managing prompt flows, eval pipelines;
  • Maintaining cloud infra (AWS – EKS/ECS, S3, RDS, KMS) via Terraform;
  • Setting up CI/CD pipelines, monitoring, and alerting (Prometheus, Grafana, etc.);
  • Tweaking React components to unblock features;
  • Helping deliver production-ready frontend flows;
  • Working closely with product, AI and DevOps teams;
  • Owning delivery end-to-end: from shaping the solution to shipping;
  • Refactoring, automating, improving reliability and developer experience.

     

What we expect from you:

  • 5+ years of backend development experience (Python, Go, or TypeScript);
  • 1+ years working with LLM services or data/AI pipelines in production;
  • Hands-on experience with microservices, message queues, idempotency;
  • Strong experience with PostgreSQL, including performance and migrations;
  • Confident with AWS stack and infrastructure as code (Terraform, GitHub Actions);
  • Solid CI/CD mindset, system design skills, and debugging experience;
  • Upper-Intermediate+ English (team is international, communication is async-first);
  • Startup readiness: you’re self-driven, autonomous, and know how to move fast.

 

It would be great if you also have:

  • Frontend skills (React + TypeScript);
  • Worked with Kafka or serverless setups (Lambda, etc.);
  • Experience with vector DBs, RAG pipelines, or prompt engineering;
  • Knowledge of security & compliance (SOC2, GDPR);
  • Experience scaling engineering teams or mentoring devs.

 

Project & Team Overview:

  • You’ll be joining the founding team of a product turning messy enterprise documents into structured intelligence;
  • Active clients from Fortune 1000;
  • Tech stack: microservices, LLMs, Kubernetes, PostgreSQL, vector embeddings;
  • You’ll have full ownership of your area, direct influence on roadmap, and ability to shape the team.

 

We offer:

  • Founding-level impact and startup-style ownership;
  • Remote/hybrid format with async flexibility;
  • Opportunity to shape product architecture from scratch;
  • Equity compensation and long-term partnership;
  • Fast-moving, no-bureaucracy environment — just great tech and people.
Published 3 July
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