Senior Backend Engineer (AI Agents)

Описание вакансии

#vacancy #remote #fulltime

Откликнуться

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.

Author: Откликнуться