Senior AI DevOps Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on taking AI solutions from idea to production over a 6-month engagement. Key stack includes Python with optional Go, agent frameworks LangGraph, LangChain, Supervisor, and observability tools Langfuse and OpenTelemetry. Responsibilities cover building and operating production-grade AI agents, designing RAG/MCP integrations and guardrails, creating an AI SDLC harness, implementing CI/CD and GitOps (GitHub Actions, ArgoCD), building automated evaluation frameworks (LLM-as-a-judge) and developing internal DevEx and infrastructure on AWS/Kubernetes.

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Senior AI DevOps Engineer

Company: SQUARE ONE RESOURCES sp. z o.o.

from: 16 September 2026
to: 16 October 2026
150 - 170net (+ VAT)/ hr.B2B contract (full-time)
Offer parameters
level:senior
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian

Requirements

Expected technologies

AI
Python
Go
LLM
AWS
Kubernetes

Our requirements

  • 5+ years of experience in DevOps, Platform Engineering, SRE, or similar infrastructure-focused roles
  • Strong coding experience in Python, Go is an advantage
  • Hands-on experience building or operating production LLM applications and agentic workflows
  • Experience with LangGraph, LangChain, Supervisor, or similar frameworks
  • Experience building AI SDLC platforms or harnesses that support the full lifecycle of AI-assisted software delivery
  • Experience with AI observability and evaluation, preferably Langfuse, OpenTelemetry, and LLM-as-a-judge approaches
  • Experience with AWS, Kubernetes, Helm, and GitOps CI/CD tools such as GitHub Actions and ArgoCD
  • Experience building internal developer platforms, DevEx tooling, or engineering automation
  • Strong ownership, problem-solving skills, and ability to lead cross-team initiatives

Optional

  • Experience with RAG, knowledge bases, MCP, tool calling, and AI guardrails
  • Experience with Terraform/OpenTofu, Crossplane, and the wider Argo ecosystem
  • Experience with Datadog, Prometheus, service mesh technologies, or large-scale distributed systems

Your responsibilities

  • Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
  • Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
  • Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
  • Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
  • Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
  • Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
  • Develop internal developer tooling and automation that removes friction across the engineering organization.
  • Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions
Company

About the project

This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
The project duration is 6 months

SQUARE ONE RESOURCES sp. z o.o.

At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.

This is how we work

Senior AI DevOps Engineer
150–170 zł / hr. (B2B)
I apply to:
SQUARE ONE RESOURCES sp. z o.o.
Warszawa, Masovian

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