Applied AI Software Engineer (Lead II - ML Engineering)

UST • Artificial Intelligence • IT Consulting & Digital Transformation • Python • 1 day ago
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Salary
≈ $118k – $218k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
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Profile match

UST

UST is a digital transformation and technology services company that partners with clients to deliver AI-driven solutions and business outcomes. It hires data scientists, Salesforce integration specialists, Java, .NET and Node.js developers, mainly in Thiruvananthapuram, Kochi, Bengaluru and Hyderabad. The company is headquartered in Thiruvananthapuram, Kerala, India.
ust.com • HQ: Thiruvananthapuram, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 5000+ employees
Tech stack of UST

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

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