Agentic AI Engineer

Quick Facts

• Role: Agentic AI Engineer

Description

You will build AI agents that run real business processes for clients, owning the work end-to-end—from the first client call to deploying and operating the system in the client’s cloud.

The role includes designing agent architectures, building agentic systems (and simple frontends when needed), deploying them, and working through client security and SOC 2 requirements.

Responsibilities

• Develop agentic LLM applications that use tools and orchestration

• Design system architecture on a major cloud and implement agentic systems

• Build validation and evaluation pipelines for LLM-based systems

• Deploy and maintain solutions using Docker and CI/CD

• Collaborate directly with clients to translate needs into technical decisions

• Support security reviews and compliance work for SOC 2 requirements

Requirements

• 2+ years of professional software engineering experience building end-to-end applications

• Production experience shipping LLM-based applications, including agents with tools and orchestration

• Experience with PydanticAI, LangChain, or LlamaIndex (or ability to build equivalent systems)

• Ability to design validation and evaluation pipelines for LLM-based systems

• Python backend development experience, including APIs, relational and vector databases

• Experience taking applications to production using Docker and CI/CD on at least one major cloud (AWS, GCP, or Azure)

• Daily hands-on agentic coding and self-built tooling (models, harnesses, MCPs, etc.)

• Comfort communicating with clients and converting requirements into technical choices

• English proficiency at B2/C1 level (spoken and written)

Benefits

• Competitive monthly compensation (B2B contract or mandate contract), hourly rate up to 130 PLN net (set individually)

• Remote-by-default with hybrid options and regular in-person meetups

• Flexible working hours focused on trust, ownership, and outcomes

• Long-term collaboration across multiple projects

• Up to 8,000 PLN gross annual personal budget for learning, tools, and conferences

• Time and support to publish open-source projects and technical articles

• Access to an internal knowledge base (Vstormpedia)