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# Software AI Engineer

- **Company:** Deloitte
- **Location:** Birmingham, UK
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Quality, Continuous Integration, Software Debugging, Enterprise Content Management, Human-Computer Interaction, Python (Programming Language), Machine Learning, Microsoft Copilot, Software Deployment, Software Engineering, SQL Databases, TypeScript, Data Processing, Feature Engineering, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Production Code, Enterprise Integration, Machine Learning Operations, Virtual Agents, Data Pipelines, Databricks
- **Published:** October 23, 2026
- **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=25590

## About the Role

* > 4 years software engineering experience, including system design, application development, testing and production support, preferable from Financial Services background.
 * Strong Python skills plus experience in at least one of Java, TypeScript or SQL; confident reviewing, debugging and improving production code.
 * Practical experience building LLM applications using prompting, tool calling, retrieval-augmented generation (RAG) and evaluation techniques.
 * Experience building and consuming APIs and event-driven services, with secure integration of enterprise data sources.
 * AWS engineering experience including containers, Kubernetes, CI/CD, application resilience and security.
 * Experience with Apache Spark or similar data-processing frameworks and large structured datasets.
 * Sound judgement when using AI-assisted development tools, including validation of outputs for correctness, performance, security and data sensitivity.
 * Experience with MCP servers, agent orchestration, task queues, Databricks, OpenTelemetry or AG-UI.

## Description

We are looking for a hands-on Software AI Engineer to design, build and support production-grade AI agent solutions for one of our Financial Services clients. You will develop Python services, agent orchestration, secure integrations and retrieval pipelines, while contributing to cloud-native delivery, testing, observability and operational stability. The role suits an engineer with strong software fundamentals and practical experience building LLM-based applications in an enterprise environment. Preferably from a Financial Services background., * Develop and support AI agent components, orchestration logic and workflow automation.

 * Build and maintain MCP servers enabling secure access to enterprise data sources.
 * Develop, review and troubleshoot high-quality Python production code.
 * Build retrieval pipelines for enterprise content with traceable citations and source attribution.
 * Develop Databricks data pipelines and feature engineering workflows for AI solutions.
 * Support MLOps processes, including model training, testing and production deployment.
 * Build user-facing Copilot experiences and human-in-the-loop review workflows.
 * Create evaluation frameworks, testing suites and observability for AI services.
 * Leverage AI-assisted development tools to enhance code quality, productivity and security.
 * Identify and automate recurring issues to improve platform stability and operational efficiency., 1. Deliver a secure, scalable copilot capability that orchestrates agent-based workflows across enterprise systems and supports controlled user interaction.
 2. Build the data and machine-learning foundations that enable the copilot to provide grounded answers and intelligent recommendations.
 3. Establish the engineering controls required to make AI agents reliable, measurable and safe for production use