Software AI Engineer

Role: Software AI Engineer - Contract Location: London | Hybrid - 3/4 days in client office. **Industry: Financial Services / Banking

Start Date: Nov 2026** Agreed Contract Rate (ACR): £308.33 per day Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay Daily Rate: £400 Inside IR35 Daily Rate breakdown Traditional Daily Rate: Up to £400 per day, dependent on experience Equivalent Annual Salary: £71,531.56 + £8,633.12 holiday pay The Role We are looking for experienced Software AI Engineers to join a leading global financial services organisation, working on innovative AI-driven solutions and next-generation digital platforms. This is an exciting opportunity to develop and enhance intelligent AI agents, copilots and machine learning applications within a large-scale enterprise environment. You will work across software engineering, Generative AI, cloud technologies and data platforms, helping to build secure, scalable and production-ready AI solutions.

Key Responsibilities

• Design, develop and maintain AI-powered applications, intelligent agents and copilot solutions using Python.
• Build and integrate APIs, agent tools and Model Context Protocol (MCP) servers to connect AI applications with enterprise systems.
• Develop retrieval-augmented generation (RAG) pipelines, including document ingestion, embeddings, indexing and retrieval.
• Build and maintain data processing pipelines using Databricks and Apache Spark.
• Support the development, testing and deployment of machine learning models through MLOps pipelines.
• Develop user-facing AI interfaces, including streaming interactions and human-in-the-loop workflows.
• Implement automated testing, AI model evaluations and CI/CD processes to ensure application quality and reliability.
• Troubleshoot technical issues, optimise performance and maintain secure, scalable cloud-native applications.
• Collaborate with cross-functional engineering, data science and product teams to deliver high-quality AI solutions.

Experience & Skills Required

• 3+ years of commercial software engineering experience, with a strong background in application development and system design.
• Strong proficiency in Python , with experience in at least one additional language such as Java, TypeScript or SQL.
• Experience developing and integrating APIs, microservices and event-driven applications.
• Working knowledge of Generative AI, Large Language Models (LLMs), RAG, prompt engineering and AI agent frameworks .
• Experience working with large datasets and data processing technologies such as Apache Spark.
• Strong understanding of software testing, CI/CD, application security and operational resilience.
• Practical experience with cloud-native technologies, containers and Kubernetes.
• Experience working within Agile development environments.
• Understanding of secure software development practices and responsible AI principles.

Nice to Have

• Experience with AWS cloud services.
• Hands-on experience with Databricks and MLOps frameworks.
• Knowledge of Model Context Protocol (MCP) and AI agent orchestration.
• Experience with AI evaluation frameworks, LLM-as-a-judge techniques and automated regression testing.
• Familiarity with OpenTelemetry, observability and distributed tracing.
• Experience developing AI-powered copilots or enterprise GenAI applications.
• Exposure to financial services, banking or other highly regulated environments.
• Experience using AI-assisted development tools.

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