Role Description We are looking for an experienced, smart, and energetic person to join our team of talented professionals as a Senior AI Developer. The AI Developer role is a hands-on engineering role within the Tryzens AI Practice and is focused on building AI-augmented delivery capabilities across our core technology platforms. - Design, build and operate LLM- and agent-based features in production - architecture through deployment, monitoring and iteration - with cost and latency treated as design constraints, not later optimisation. - Integrate models with our systems and data: APIs, tool calling, multi-step orchestration, retrieval where the task requires grounding in specific data. - Build the evaluation and observability that make behaviour changes visible before release rather than after: test sets, automated scoring, tracing, per-task cost. - Design for non-deterministic failure - output validation, fallbacks, degradation paths, human checkpoints where an error cannot be absorbed. - Work with clients and product owners to turn ambiguous requirements into scoped, testable capabilities, including judging when an LLM is the wrong tool. - Senior-level software engineering in Python/Typescript, with production ownership: you have deployed, monitored and been accountable for systems in live use. - You have shipped an LLM or agent system that reached production, was used by people outside your team, and was maintained by you afterwards. - You have a working method for knowing whether a change to a prompt, model or pipeline improved the system. - You have worked under data security or compliance constraints, including limits on what may be sent to third-party model providers, and you understand the failure modes specific to LLM systems - prompt injection, data leakage across tenants, unsafe tool invocation. Qualifications - Useful, not required: - Retrieval at scale: hybrid search, reranking, permissioned or fast-changing document sets. - Agent frameworks, MCP. - Bedrock / Vertex / Azure OpenAI. - Asynchronous and long-running systems: queues, idempotency, durable state. - Client-facing consulting. - Not required: - An ML or research background. This is an engineering role: the work is building systems around models, not developing them. - No specific commerce platform experience. Benefits - Competitive remuneration package. - Flexible working hours. - Fully remote working policy. - Food and gift vouchers. - Additional health insurance. - Great work-life balance and 25 days annual vacation. - 1 day Birthday vacation. - A positive and fun environment.

• Owning, developing, and maintaining enterprise AI governance policies and standards, including Responsible AI principles, acceptable use, documentation requirements, and defined risk thresholds. • Establishing and maintaining the AI policy hierarchy, ensuring clear alignment between enterprise policy, supporting standards, and control requirements. • Translating external regulatory expectations and industry frameworks (e.g., NIST AI Risk Management Framework) into clear, enforceable enterprise policies and standards. • Ensuring AI governance policies and standards remain current with evolving regulations, supervisory guidance, technology capabilities, and business use cases. • Defining policy exception criteria and escalation pathways; exception approval is governed through established enterprise processes. • Identifying, define, and document AI governance controls that enable compliance with policy, regulatory, and risk management obligations. • Developing clear control statements that articulate control intent, scope, applicability, and expected evidence artifacts across the AI lifecycle. • Defining minimum control requirements based on AI risk tier, model characteristics, data sensitivity, and usage context. • Partnering with engineering, security, and delivery teams to ensure AI controls are implementable, measurable, and embedded into SDLC and operational workflows. • Maintaining authoritative documentation of AI controls to support audit, regulatory review, and internal assurance activities. • Supporting client-facing teams by providing standardized, defensible AI governance policy and control content for inquiries, RFPs, and due diligence requests. • Assisting in preparing clear, business friendly explanations of AI governance practices for clients and auditors. • Providing guidance to ensure AI usage aligns with contractual, regulatory, and trust expectations. • Providing guidance on policy and control alignment to ensure AI usage meets contractual, regulatory, and trust expectations. • Supporting AI risk classification, documentation traceability, and audit readiness across AI use cases, models, tools, and vendors. • Assisting with preparation and maintenance of AI governance evidence for audits, regulatory reviews, and client inquiries (e.g., SOC 2, ISO, due diligence). • Tracking AI-related findings and remediation status to inform continuous improvement of governance policies, standards, and controls.

• Enables responsible and scalable AI adoption by defining technical quality standards, evaluation framework and control requirements across the AI lifecycle. • Partners closely with AI Engineering, Data Scientists, QA CoE, and Product teams to define quality and performance requirements. • Embeds quality considerations into model and system architecture from the onset. • Designs and maintains structured evaluation framework that assesses AI systems against defined quality bars. • Develops automated metrics for Generative AI performance. • Identifies and documents technical AI governance controls that enable automated compliance with performance and risk obligations.

Role Description We're looking for an AI Engineer to design, build, and operate production-grade AI and Generative AI solutions across the company. This is a hands-on engineering role : you'll turn architecture and business requirements into working, scalable systems - including LLM applications, AI agents, RAG pipelines, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms. The role is remote (in Poland only) . Key Responsibilities - Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization. - Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code. - Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated. - Develop and integrate AI agents and multi-agent systems using established orchestration frameworks. - Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards. - Integrate AI solutions with enterprise platforms (e.g., CRM, ERP, ITSM, data warehouse, identity, observability stack) via APIs, events, and connectors. - Ensure designs support scale, reliability, and change management — versioning, backward compatibility, and clear contracts. - Contribute to responsible AI practices and internal policy development by translating principles into engineering standards, reusable patterns, and reference implementations. - Implement governance and security controls in code, including: data classification and PII handling, prompt injection defenses and content filtering, audit logging and traceability, and RBAC/least-privilege access patterns. Qualifications - Min. 4+ years of professional software engineering experience, with 1–2 years building and shipping AI/ML or Generative AI solutions in production. - Proven track record of delivering AI features that run in production with real users. - Hands-on experience in enterprise environments: security, compliance, integrations, and scale. - LLMs & GenAI: deep practical experience with foundation models, prompt engineering, tool/function calling, structured outputs, and context management. - Agents & orchestration: hands-on experience building agents, copilots, or multi-agent workflows. - Microsoft Azure: deploying and operating AI workloads on Azure — specifically Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services. - Microsoft Copilot ecosystem: extending or integrating Microsoft 365 Copilot; building custom copilots and agents with Microsoft Copilot Studio. - Python: strong production-quality Python — typing, testing, packaging, and async patterns. - APIs & services: REST and/or gRPC; event-driven patterns; API design and versioning. - MLOps fundamentals: experiment tracking, model and prompt versioning, automated evaluation, and monitoring of AI systems in production. - Multi-model experience: familiarity with working across LLM providers (e.g., Azure OpenAI, third-party models via Azure AI Foundry) and adapting to provider-specific patterns such as tool use, structured outputs, and long-context handling. - Experience with embedded/on-platform AI tooling such as ServiceNow Now Assist or similar ITSM AI capabilities. - Strong communication skills — able to explain technical decisions to both engineers and non-technical stakeholders. - Pragmatic, delivery-oriented mindset; comfortable balancing speed of iteration with production quality. - Fluency in English, written and spoken. Benefits - A culture built on trust and accountability - giving you the freedom and autonomy to be successful and make an impact. - Balance - with our Flexible Leave Paid Time Off policy, remote working opportunities, Global Wellbeing Days, and other great benefits. - Growth opportunities - we provide the tools and guidance required so that you can focus on what really matters to you and so, ultimately, you can achieve your best work. - Talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry. - A commitment to sustainability - with initiatives such as our Environmental, Social, and Governance strategy and Act4Good programme. - A safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all. Additional Information Unit4 is committed to ensuring equal opportunity for everyone. We make our hiring decisions solely based on skills, qualifications, and our current business needs. We know that diversity brings fresh perspectives, ideas, and solutions to our company. This is the essence of our culture. We also welcome and encourage people who are pregnant and/or parents-to-be to apply. This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries though – we'll handle it according to local privacy laws and keep your info safe. Salary ranges: 39,789 - 48,622 EUR