KPMG—Senior

Job description

Description: We are recruiting for a Product Developer in the Legal, Risk Management and Compliance (LRMC) team, Requirements: Mandatory technical & functional skills •5-7 years of experience building and deploying modern web applications in an enterprise environment. •Strong programming skills in Python and experience with Flask/FastAPI framework •Experience with LLMs: fine‑tuning, 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 •Knowledge of multi‑agent systems, LangChain, Semantic Kernel •Experience of building chatbots, agents, or enterprise LLM applications. •Demonstrated experience of integrating front-end applications with backend using RESTful APIs. Preferred technical & functional skills •Experience with data visualization or analytics platforms such as Databricks and Power BI. •An understanding of risk management, compliance, or governance domains. •Frontend- Architect and build responsive, maintainable, and component-driven user interfaces. Ensure seamless data exchange and state management using modern JavaScript, JSON, and API integrations. •A passion for building innovative, user-centric products within complex regulatory landscapes. Responsibilities: Roles & responsibilities We are recruiting for a Product Developer in the Legal, Risk Management and Compliance (LRMC) team, Development: •Product & Application Development: Co-lead the technical execution of our product roadmap, translating concepts from Lovable.ai and other design prototypes into functional, high-performance web applications using Vue.js and React. •Backend Engineering: Co-lead the development of backend APIs and server-side logic to handle data processing, business rules, and integrations with enterprise systems. •AI & Data Integration: Collaborate closely with data engineering and Azure AI specialists to connect front-end components to back-end services, including knowledge stores, vector databases, and machine learning models. •AI Engineering: Build LLM applications like chatbots, copilots, agents. •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, and performance. 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.