Applied AI Software Engineer (Lead II - ML Engineering)

UST
London, UK
27 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications Automation of Tests Software Quality Code Review Continuous Integration Python (Programming Language) Machine Learning OpenAI
+12 more
Secure Coding Software Engineering Systems Integration Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Multi-Agent Systems AgentCore Agentic-AI AI Platforms Api Design Agent2Agent Protocol

Job description

  • Build and deliver AI-powered applications and workflows.
  • Develop integrations with APIs, enterprise systems, and LLMs.
  • Contribute to Agentic AI solutions and automation initiatives.
  • Collaborate with business and engineering teams to deliver scalable solutions.
  • Follow best practices in testing, security, CI/CD, and code quality.
  • Support responsible AI adoption through evaluation and governance.

Requirements

  • Strong software engineering background with Python development expertise
  • Experience building APIs, integrations, and production applications
  • Knowledge of LLMs (OpenAI, Anthropic), Agentic AI, and AI-powered workflows
  • Understanding of CI/CD, automated testing, secure coding, and code reviews
  • Experience working in Agile teams and collaborating with business stakeholders
  • Exposure to RAG, vector databases, AWS Bedrock, or enterprise AI platforms is desirable

Nice to Have:

  • AWS Bedrock / AgentCore experience
  • Vector databases, embeddings & enterprise AI architectures
  • AI-assisted coding tools
  • Knowledge of MCP, A2A, and AI orchestration frameworks

About the company

We are looking for an Applied AI Software Engineer to build and deliver AI-powered solutions that solve real business challenges. This is an exciting opportunity for a hands-on engineer with strong Python expertise and a passion for developing production-ready AI applications.

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