Senior

We are recruiting for a Solutions Developer in the Quality and Risk Management team.

Roles & responsibilities Development: • Solution & Application Development: Co-lead the technical execution of our solution roadmap, translating concepts and design prototypes into functional, production-grade applications spanning Python desktop tools, Databricks Apps, and Power Platform business applications. • Backend Engineering: Co-lead the development of backend logic, data pipelines, and server-side automation to handle data processing, business rules, and integrations with enterprise systems. • AI & Data Integration: Collaborate closely with data engineering and AI specialists to connect application components to back-end services, including knowledge stores, vector databases, and machine learning models. • AI Engineering: Build production LLM applications such as chatbots, copilots, agents, and AI-assisted review and classification workflows. • End-to-End Solution Architecture: Design complete operational systems — data model, automation logic, user interface, and deployment — evaluating multiple solution paths for scalability, maintainability, and business fit. • Process Re-engineering & Automation: Assess existing business processes, identify automation opportunities, and deliver solutions that achieve measurable efficiency gains. • Cross-Functional Collaboration: Work in an agile environment with product managers, UX/UI designers, and business stakeholders to rapidly iterate on features and deliver an exceptional user experience. • Technical Leadership: Champion best practices in code quality, testing, performance, and documentation. Version Control & CI/CD Automation: • Utilize GitHub for source control, versioning, and collaborative development. • Implement CI/CD pipelines using GitHub Actions to automate application deployment. Collaboration & Stakeholder Communication: • Work closely with data engineers, analysts, and business teams to gather requirements and design solutions. • Document technical specifications and best practices for efficient handover and knowledge sharing.

Mandatory technical & functional skills • 5-7 years building and deploying applications and automation solutions in an enterprise environment, including web apps (e.g., Databricks Apps). • Strong programming skills in Python, including application development with complex business logic, error handling, and logging. • Experience with LLMs: prompt engineering, RAG (Retrieval-Augmented Generation), and model evaluation techniques for generative AI. • Experience with Azure AI Foundry, Azure OpenAI Service, or enterprise LLM deployment. • Experience of building chatbots, agents, or enterprise LLM applications. • Demonstrated experience integrating applications across systems using RESTful APIs. • Power Platform: Experience building and delivering solutions on the Microsoft Power Platform, including Power Apps and Power Automate, for business applications, workflow automation, and approvals. • Data Engineering: Experience with SQL Server and T-SQL (stored procedures, views) and building scheduled data integration jobs (e.g., SSIS or comparable ETL/ELT). Preferred technical & functional skills • Experience with data visualization libraries or analytics platforms such as Databricks or Power BI. • An understanding of risk management, compliance, or governance domains. • Knowledge of multi-agent systems, LangChain, or Semantic Kernel. • Frontend — Experience building responsive, maintainable user interfaces with modern web frameworks (e.g., Vue.js, React), JavaScript, JSON, and API integrations. • A passion for building innovative, user-centric products within complex regulatory landscapes.