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.