Software Ai Engineer

Deloitte - Recruitment; Greater London; Híbrido; GBP 64.000 - 84.000; Jornada completa

Descripción de la vacante

Deloitte is seeking a Software AI Engineer on a contract basis in London, with hybrid work requiring 3–4 days in the client office. The role focuses on AI-powered software engineering, building scalable, production-ready AI solutions for a financial services context.

You will develop AI agents and copilots, design and implement retrieval-augmented generation pipelines, and work across Python, APIs, data platforms, and cloud-native tech in a collaborative, regulated environment.

Formación

• 3+ years of commercial software engineering experience.
• Strong Python proficiency; familiarity with Java, TypeScript or SQL.
• Experience integrating APIs, microservices and event-driven apps.
• Knowledge of Generative AI, LLMs, RAG, prompt engineering and AI agent frameworks.
• Experience with Apache Spark and large data processing.
• Understanding of CI/CD, testing, security and resilience.
• Proficient with cloud-native tech, containers and Kubernetes.
• Experience in Agile development and secure software practices.

Responsabilidades

• Design, develop and maintain AI-powered applications using Python.
• Build APIs, agent tools and MCP servers to connect AI with enterprise systems.
• Develop retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, indexing and retrieval.
• Build data processing pipelines with Databricks and Spark.
• Support ML models via MLOps pipelines and CI/CD.
• Create user-facing AI interfaces with streaming and human-in-the-loop workflows.
• Implement automated testing and AI model evaluations for quality and reliability.
• Troubleshoot performance and ensure secure, scalable cloud-native apps.
• Collaborate with cross-functional teams to deliver AI solutions.

Conocimientos

Python

Java

TypeScript

SQL

APIs

Microservices

Event-driven

LLMs

Generative AI

Spark

Databricks

MLOps

Kubernetes

CI/CD

Agile

Cloud

Herramientas

Databricks

Apache Spark

Kubernetes

AWS

MLOps

Descripción del empleo

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

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.
  

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.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.