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
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
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
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.
... Jira, Confluence, Prometheus, Grafana, PostgreSQL, Elasticsearch Optional, Clearance Operating system, Windows, Linux About the project, We are looking for a DevOps Engineer (AI, GitLab) to join Sopra Steria Polska and one of our innovative international squads. You will be part of an exciting initiative in cutting edge ...
... prowadzić rozmowy techniczne z klientami i tłumaczyć złożone zagadnienia w sposób zrozumiały biznesowo - Posiadasz certyfikaty Google Cloud Professional Architect / DevOps Engineer lub równoważne dla AWS/Azure Mile widziane - Certyfikaty Professional Cloud Network Engineer lub równoważne dla AWS/Azure - Doświadczenie w architekturach ...
... platform health, troubleshoot incidents, and contribute to reliability improvements - Collaborate with cross-functional teams in an Agile environment and promote DevOps best practices Nasze wymagania - Strong hands-on experience with Kubernetes - Strong experience with Docker - Experience designing and maintaining CI/CD pipelines ...
... automatyzacji procesów. - Certyfikaty związane z Azure, DevOps lub AI/ML. - Znajomość dobrych praktyk związanych z bezpieczeństwem i zarządzaniem rozwiązaniami AI. To oferujemy - Pracę w modelu hybrydowym. - Start ASAP. - Możliwość pracy przy projektach łączących AI, Cloud, DevOps i automatyzację procesów biznesowych. - ...
Senior AI Engineer Miejsce pracy: Kraków Technologies we use Expected - Docker - Kubernetes - Python - MLFlow - LangChain - LangGraph Operating system - Windows About the project We're looking for a Senior AI Agent Engineer to join an interdisciplinary product squad and take ownership of the design, development, and delivery ...
Senior AI Engineer Miejsce pracy: Warszawa Technologies we use Expected - Python About the project Are you passionate about Generative AI, LLM technologies, and building scalable AI solutions for business applications? We are looking for a Senior AI Engineer to design and implement cutting-edge AI solutions integrated into ...
... (https://jobeax.com/link/JSd7UYCSg572jJDY) jest główną technologią backendową, jednak Twoim codziennym i najważniejszym zadaniem będzie praca z technologiami AI/LLM, a nie standardowy rozwój kodu aplikacyjnego. Szukamy inżyniera AI, który sprawnie porusza się w ekosystemie TS, a nie klasycznego web developera. Projekt ...
... Microsoft Azure, LangChain, LangGraph Optional, TensorFlow, PyTorch, Scikit-learn About the project, We are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role includes enabling interactions via voice, chat, email, or APIs, connecting AI to corporate systems ...
... Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic - 1–2 years of hands-on experience with Generative AI and large language models (LLMs) - Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing ...
Wymagane, LLM O projekcie, Do projektu związanego z rozwojem rozwiązań z obszaru sztucznej inteligencji (AI) poszukujemy Senior AI Engineera, który będzie odpowiedzialny za projektowanie i rozwój usług wspierających automatyczną analizę, klasyfikację i przetwarzanie dokumentów., , Osoba na tym stanowisku będzie pracować ...
... challenges Collaborate closely with developers, QA and other product teams to identify bottlenecks and enhance engineering workflows Support and evolve the engineering spirit Maintain comprehensive documentation and contribute to knowledge-sharing activities 3+ years of hands-on experience in DevOps with a previous technical ...