Senior AI Engineer LLM Agents in Production (Remote)

INFUSE; Łódź; Remote; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Fully remote work format

Paid time off

Sick leave

Reduced hours on Fridays in summer

US holidays + birthday off

Job summary

INFUSE is seeking a Senior AI Engineer to design, build, and run LLM-powered agents in production. You will scope uses with stakeholders, craft architectures, and drive deployment, evaluation, and ongoing improvement across the full lifecycle.

You will work with Python, TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, and AWS. Expect hands-on coding, tool governance, and close collaboration with business teams.

Qualifications

• 5+ years of software engineering experience with production systems.
• Proven experience building LLM-based agents in production.
• Hands-on experience with MCP and RAG pipelines.

Responsibilities

• Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
• Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
• Own quality and cost: evals and golden sets, per-agent telemetry, prompt/model versioning, provider failover and routing.
• Ship through CI/CD: tests, evals, containerized deploys, monitoring, rollbacks.
• Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
• Work with business stakeholders to scope, prioritize and validate use cases.
• Use AI coding tools daily; verify outputs and catch mistakes.

Skills

Software engineering

LLM agents

Python

SQL

TypeScript/Node.js

AWS

CI/CD

Observability

English communication

Tools

Claude Agent SDK

LangGraph

Pydantic AI

Kafka

Job description

INFUSE is seeking a Senior AI Engineer to design, build, and run LLM-powered agents in production. You will scope uses with stakeholders, craft architectures, and drive deployment, evaluation, and ongoing improvement across the full lifecycle.

You will work with Python, TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, and AWS. Expect hands-on coding, tool governance, and close collaboration with business teams.