#vacancy #remote #fulltime
https://www.customertimes.com/open-positions/jr-168798
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:
• Competitive salary;
• 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.
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Author: @DanKhramov
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