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U

Applied AI Software Engineer (Lead II - ML Engineering)

UST
  • Location not stated
  • Hybrid
  • Staff / Principal
  • 6 days ago
  • AI
  • Python
  • CI/CD
  • OpenAI
  • Agile
  • RAG
  • AWS Bedrock
  • MCP
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

Location: London- Hybrid working model

Employment type: Permanent/ Fixed term contract/ Contract inside IR 35

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.

Key Responsibilities

  • 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.

Key Skills & Experience:

  • 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

Interested? Apply with your updated CV for an immediate discussion with UST Talent team

#UST

Applied AI Software Engineer (Lead II - ML Engineering) · UST

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