Senior AI-Native Engineer

We are looking for a Senior AI-Native Engineer to join the team in Poland.

This position offers a hybrid work model, combining remote work with 3 days per week from an office in Kraków, Wrocław, or Gdańsk.

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 broader AI development work.
• Hands-on experience with AWS or GCP cloud platforms, particularly AI/ML services such as Bedrock, SageMaker, Vertex AI, Lambda, or Cloud Functions.
• Demonstrated practice of embedding AI into the SDLC through AI-powered assistants, agents, or copilots.
• Strong system design skills for solutions that combine traditional services with autonomous AI components.
• Critical thinking and ability to assess model limitations, hallucination risks, and appropriate use cases for AI automation.
• 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 to ground model responses in verified, domain-specific knowledge.
• Familiarity with vector databases such as Pinecone, Weaviate, pgvector, Chroma, or 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

• Collaboration with technology specialists working in AI, cloud, and digital platform modernization.
• Supportive, agile, startup-like team culture.
• Hybrid work model and remote-work opportunity 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 the 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, and coffee.
• Corporate, social, and well-being events.

Benefits listed above are available to employees only. Contractors are also welcome; B2B cooperation terms are agreed individually. Only selected candidates will be contacted.