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.