We are looking for a senior backend engineer with strong Node.js / TypeScript experience and hands-on expertise in AWS Bedrock to design and build production-gr

We are looking for a senior backend engineer with strong Node.js / TypeScript experience and hands-on expertise in AWS Bedrock to design and build production-grade AI agents and agentic workflows. This role is focused on backend and platform implementation of LLM-powered systems: multi-step orchestration, tool calling, stateful workflows, retrieval, integrations, guardrails, observability, and reliable production delivery. We are primarily a Node.js / TypeScript environment for this stream, so experience building AI systems in JavaScript/TypeScript is essential.
The position is fully remote and requires working in the CET time zone.
Requirements:
Core Backend Engineering
3+ years of production experience with Node.js or Python.
Strong TypeScript skills in production codebases.
Experience with NestJS or similar backend frameworks.
Solid API engineering skills: REST, integrations, auth flows, retries, error handling.
Experience with asynchronous processing: queues, workers, background jobs, multi-step workflows.
Experience with Docker and cloud deployment fundamentals.
Experience working with production databases such as PostgreSQL, DynamoDB, or Redis-backed systems.
Strong engineering practices: clean code, testing, logging, CI/CD, code reviews.
AI/Agent Engineering
Hands-on experience building LLM-powered applications in Node.js / TypeScript.
Experience designing AI agents or agentic workflows, including:
tool / function calling
multi-step orchestration
routing between steps or models
human-in-the-loop flows
structured outputs
conversation / workflow state handling
Good understanding of:
context windows and token limits
model selection trade-offs
prompt design
hallucination and safety risks
latency / quality / cost trade-offs
Experience with at least one JavaScript AI framework or orchestration approach (e.g., LangGraph.js, LangChain.js, AWS Bedrock Agents or custom solutions).
AWS/Bedrock
Production experience with AWS Bedrock.
Experience with:
model invocation
tool use / function calling
prompt orchestration
evaluation and testing of prompts/models
retrieval-based patterns
Good knowledge of AWS ecosystem (Lambda, ECS/EKS, S3, CloudWatch, IAM, SQS/SNS, API Gateway).
Understanding of secure and reliable AI system deployment in AWS.
Rerieval/Context Systems
Understanding of RAG patterns and context-building approaches.
Experience with:
embeddings
chunking strategies
retrieval pipelines
metadata filtering
relevance and grounding
Experience with vector databases or vector search is a plus.
What We Offer:
100% remote opportunity;
Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);
Opportunities for professional growth and career advancement;
Collaborative and innovative work environment;
Paid time off, including holidays, vacation and sick leave;
Benefits may vary by location and will be confirmed during the interview process.