Technical SME / AI Lead Developer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. This role involves working on the UK GPB AI proposal generation application, collaborating with stakeholders across Product, Engineering, Architecture, Data, Security, Risk/Compliance, and Operations.

• 5+ years in technology delivery, system analysis, or product/solution design in complex or regulated environments.
• Proven experience in designing AI-enabled workflows (RAG, agent orchestration, tool integration, structured outputs).
• Experience delivering data-driven and automation-centric solutions.
• Demonstrated work with API-based integrations and event-driven processes.
• Strong technical skills including coding, configuration, prototyping, integration troubleshooting, and CI/CD awareness.
• Familiarity with secure design, IAM, resilience, scalability, and compliance in highly regulated settings (banking or financial services).
• Excellent communication and stakeholder management skills balancing technical and business priorities.

Nice to have:

• Experience in investment proposal, document composition platforms, or client reporting.
• Knowledge of AI Agent patterns, LLMOps, golden datasets, evaluation strategies, and regulatory AI governance.
• Exposure to Private Banking solutions or systems like Aladdin.

• Lead the build-out of the AI proposal generation application: workflow design, agent orchestration, portfolio/content retrieval, reusable Skills, MCP Tool integration, output formatting, evaluation, and human review controls.
• Contribute hands-on to AI Agent workflows, Skills, MCP Tools, integration components, prototypes, and preview/export capability.
• Guide engineering teams on business context and delivery constraints.
• Develop and validate workflows that retrieve portfolio data, source approved content, assemble client-ready proposal sections, apply disclosures, and provide traceable evidence for review.
• Define requirements for data sourcing, transformation, quality, lineage, metadata, governance, tool contracts, validation rules, and traceability.
• Produce feature briefs, user stories, acceptance criteria, process flows, data mappings, dependency logs, decision records, and readiness packs.
• Support design reviews, risk/control assessments, assurance activities, and responsible AI controls.
• Capture non-functional requirements including performance, resilience, security, auditability, scalability, usability, supportability, and observability.
• Define evaluation, monitoring, regression, prompt/tool versioning, telemetry, golden dataset, and success metrics for production AI solutions.

Hybrid work setup: 2 days per week from office in Kraków