Intelligent Applications Developer

Description

Build the applications and interfaces people use to supervise agentic systems, work with them and get value from them, with a focus on security and ease of use.

You will work within the AI Transformation and Agentic Systems Practice alongside the company's sector, functional, cloud, cyber, risk, Responsible AI and change specialists, client owners, technology teams and, where useful, partners.

Success is judged by user adoption and task completion, application quality, accessibility and speed, integration reliability, release pace, and less workflow friction based on user feedback.

Responsibilities

• Build web, mobile, chat-based or embedded experiences for workflows that use AI.
• Write front-end components, backend-for-frontend services and APIs.
• Design screens for approvals, supporting evidence, exceptions, feedback and human takeover.
• Connect identity, role-based access, telemetry and enterprise design standards into the applications.
• Prototype and ship in iterations alongside users, product owners and engineers.
• Write automated tests, meet accessibility requirements and prepare releases for deployment.
• Support proposals, client workshops and market development, scaled to your seniority.
• Share reusable methods, patterns, code, assets and lessons learned.
• Coach colleagues and take part in the team's continuous learning program.

Requirements

• At least 3 years in full-stack, front-end or application development.
• Strong TypeScript or JavaScript skills with a modern framework such as React, Next.js or Angular, plus backend work in Node.js, Python with FastAPI,.NET or similar.
• Solid grasp of modern web frameworks, APIs, identity and application security.
• Working knowledge of OAuth 2.0 or OpenID Connect, role-based access control, secure API calls, telemetry, accessibility and testing of front ends and APIs.
• Experience putting streaming LLM or agent APIs into user interfaces, including structured responses, tool-status events, citations, feedback capture and resumable or long-running workflow states.
• Hands-on familiarity with at least one agent toolkit, such as LangChain with LangGraph, Microsoft Agent Framework, Semantic Kernel, the OpenAI Agents SDK or an equivalent.
• A user-centered design mindset and comfort working in agile, multidisciplinary teams.
• Desirable: prior work wiring AI services, chat interfaces or workflow tools into products.
• Desirable: you have built chat-based or embedded enterprise apps on Microsoft Copilot Studio, Teams or the web.

Conditions

Hybrid working model.

Location code LI-BS1.

You uphold the company's quality, independence, confidentiality and risk-management requirements.