Software AI Engineer

Deloitte - Recruitment; Greater London; Hybrid; GBP 44,000 - 74,000; Full time

Job summary

Deloitte - Recruitment in London is seeking a Software AI Engineer for a contract role. You will work on AI-driven financial services platforms, building intelligent agents, copilots and ML-powered solutions across software engineering, Generative AI, cloud technologies and data platforms.

The role collaborates with cross-functional teams to deliver secure, scalable, production-ready AI applications, with a hybrid work pattern and a focus on high-quality engineering practices.

Qualifications

• 3+ years of commercial software engineering experience.
• Proficiency in Python and at least one additional language (Java, TypeScript or SQL).
• Experience developing and integrating APIs, microservices and event-driven apps.
• Knowledge of Generative AI, LLMs, RAG, prompt engineering and AI agent frameworks.
• Experience with Apache Spark or similar data processing tech.
• Understanding of CI/CD, security and operational resilience.
• Experience with cloud-native technologies, containers and Kubernetes.
• Experience in Agile development.

Responsibilities

• Design, develop and maintain AI-powered apps and agents using Python.
• Build and integrate APIs, MCP servers to connect AI apps with enterprise systems.
• Develop RAG pipelines: ingestion, embeddings, indexing and retrieval.
• Build data processing pipelines with Databricks and Apache Spark.
• Support ML models through MLOps pipelines and testing.
• Create user-facing AI interfaces, including streaming and human-in-the-loop workflows.
• Implement CI/CD and automated testing to ensure quality and reliability.
• Troubleshoot issues, optimise performance and secure cloud-native apps.
• Collaborate with cross-functional teams to deliver high-quality AI solutions.

Skills

Python

Java

TypeScript

SQL

Generative AI

LLMs

RAG

API design

Microservices

Event-driven

Kubernetes

Cloud-native

Databricks

MLOps

Agile

Tools

Databricks

Model Context Protocol (MCP)

OpenTelemetry

Kubernetes

Job description

London, United Kingdom | Posted on 16/10/2026

Role: Software AI Engineer - Contract

Location: London | Hybrid - 3/4 days in client office.

Traditional Daily Rate: Up to £400 per day, dependent on experience

The Role Weare looking for experienced Software AI Engineers to join a leading global financial services organisation, working on innovativeAI-driven solutions and next-generation digital platforms. This is an excitingopportunity to develop and enhance intelligent AI agents, copilots and machinelearning applications within a large-scale enterprise environment. You willwork across software engineering, Generative AI, cloud technologies and dataplatforms, helping to build secure, scalable and production-ready AI solutions.

Key Responsibilities

• Design, develop and maintainAI-powered applications, intelligent agents and copilot solutions usingPython.
• Build and integrate APIs, agenttools and Model Context Protocol (MCP) servers to connect AI applicationswith enterprise systems.
• Develop retrieval-augmentedgeneration (RAG) pipelines, including document ingestion, embeddings,indexing and retrieval.
• Build and maintain dataprocessing pipelines using Databricks and Apache Spark.
• Support the development,testing and deployment of machine learning models through MLOps pipelines.
• Develop user-facing AIinterfaces, including streaming interactions and human-in-the-loopworkflows.
• Implement automated testing, AImodel evaluations and CI/CD processes to ensure application quality andreliability.
• Troubleshoot technical issues,optimise performance and maintain secure, scalable cloud-nativeapplications.
• Collaborate withcross-functional engineering, data science and product teams to deliverhigh-quality AI solutions.

Experience & Skills Required

• 3+ years of commercial softwareengineering experience, with a strong background in applicationdevelopment and system design.
• Strong proficiency in Python , with experience in at leastone additional language such as Java, TypeScript or SQL.
• Experience developing andintegrating APIs, microservices and event-driven applications.
• Working knowledge of Generative AI, Large LanguageModels (LLMs), RAG, prompt engineering and AI agent frameworks .
• Experience working with largedatasets and data processing technologies such as Apache Spark.
• Strong understanding ofsoftware testing, CI/CD, application security and operational resilience.
• Practical experience withcloud-native technologies, containers and Kubernetes.
• Experience working within Agiledevelopment environments.
• Understanding of securesoftware development practices and responsible AI principles.

Nice to Have

• Experience with AWS cloudservices.
• Hands-on experience withDatabricks and MLOps frameworks.
• Knowledge of Model ContextProtocol (MCP) and AI agent orchestration.
• Experience with AI evaluationframeworks, LLM-as-a-judge techniques and automated regression testing.
• Familiarity with OpenTelemetry,observability and distributed tracing.
• Experience developingAI-powered copilots or enterprise GenAI applications.
• Exposure to financial services,banking or other highly regulated environments.
• Experience using AI-assisteddevelopment tools.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

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