Senior AI-Native Engineer

We’re looking for someone who doesn’t just use AI — but thinks in AI. This role is built for engineers who approach every problem with an AI-first mindset, design systems where intelligent agents are core building blocks, and naturally embed AI into every stage of the software development process. If you’re driven by the challenge of building truly autonomous, reasoning systems and want to define what AI-native engineering looks like at enterprise scale, we’d love to talk.

This position offers a hybrid work model, combining remote work with 3 days per week from an office in Kraków, Wrocław, or Gdańsk. This setup provides flexibility while supporting in-person collaboration.

Responsibilities

• Architect and develop AI-native applications where intelligent agents and LLM-powered components are foundational building blocks.
• Design and implement multi-agent systems capable of autonomous reasoning, planning, tool selection, and execution of complex workflows.
• Integrate Large Language Models into production environments, ensuring reliability, observability, and graceful degradation.
• Embed AI throughout the software development lifecycle, from AI-assisted design and code generation to intelligent testing, review, and deployment automation.
• Develop orchestration layers that manage agent communication, shared memory, context windows, and task delegation.
• Craft and iterate on prompt engineering strategies to drive consistent, high-quality model outputs across diverse use cases.
• Evaluate and benchmark emerging AI models, frameworks, and agent platforms to inform technology decisions.
• Design feedback loops, guardrails, and evaluation mechanisms to ensure AI system safety, accuracy, and alignment.
• Collaborate with product managers, data engineers, and platform architects to deliver AI-driven solutions at scale.
• Create internal standards, reference architectures, and reusable patterns for AI-native development.
• Mentor engineers on agentic design patterns, LLM integration best practices, and AI-first thinking.
• Monitor the evolving AI landscape and translate emerging research into practical engineering approaches.

Requirements

• Minimum 5 years of professional software engineering experience with a demonstrated focus on AI-powered systems.
• Proven hands-on experience in AI agent development or LLM integration, building and shipping applications where large language models drive autonomous reasoning, content generation, or complex decision-making.
• Experience with AI orchestration frameworks such as Spring AI or LangChain4J for structured development of agent-based applications.
• Strong prompt engineering skills, including designing prompt templates, chains, and system instructions that produce reliable, context-aware model behavior in production settings.
• Proficiency in Python for AI/ML prototyping, model interaction, scripting, and the broader AI development ecosystem.
• Hands-on experience with AWS or GCP cloud platforms, particularly AI/ML services such as Bedrock, SageMaker, Vertex AI, Lambda, and Cloud Functions.
• Demonstrated practice embedding AI into the SDLC through AI-powered assistants, agents, or copilots.
• Strong system design skills for solutions combining traditional services with autonomous AI components.
• Critical thinking and ability to assess model limitations, hallucination risks, and appropriate AI automation use cases.
• Excellent communication skills and ability to work effectively in international, cross-functional Agile teams.
• English proficiency at B2+ level, written and spoken.

Nice to have

• Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines that ground model responses in verified, domain-specific knowledge.
• Familiarity with vector databases such as Pinecone, Weaviate, pgvector, Chroma, and Milvus for semantic search, similarity matching, and embedding management.
• Understanding of Model Context Protocol (MCP) for standardized interaction between AI agents and external tools, APIs, or data sources.
• Hands-on experience with Anthropic Claude Code or similar agentic developer tools for AI-native software engineering workflows.
• Familiarity with Google Agent Development Kit (ADK) for building, testing, and deploying multi-agent systems with structured orchestration.

We offer

• Hybrid-by-design work and the opportunity to work remotely within Poland.
• Opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career development programs, thought leadership, mentoring, soft-skills, and well-being programs.
• Certification opportunities in Anthropic, Gemini, GCP, Azure, and AWS.
• English classes.
• Stable pay.
• Participation in an Employee Stock Purchase Plan with a 15% discount.
• Benefits package including health insurance, multisport, and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee, and more.
• Corporate, social, and well-being events.

Benefits listed above are available to employees only.

Contractor cooperation is also available. Terms of B2B cooperation agreements are agreed individually.

Only selected candidates will be contacted.