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Senior Software Engineer

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Onsite

Senior Software Engineer

Tipalti

Senior Software Engineer

Skills

MicroservicesAI

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

30 August 2026

What they need


  • As a Senior AI Software Engineer, you’ll play a key role in launching and scaling a new AI-native product area. You’ll work in a cross-functional squad to:
  • Turn ambiguous problems into well-designed, scalable AI-powered systems
  • Build high-quality, LLM-driven features end-to-end — from prototype to production
  • Design and integrate agentic workflows, retrieval systems, and model-orchestration pipelines
  • Deliver AI solutions that make a measurable difference for customers
  • You’ll contribute across the stack, with a strong focus on backend APIs and services that power AI/LLM-driven functionality in expenses and procurement
  • Design, build, and ship end-to-end AI-powered features for a new product
  • Collaborate closely with Product Managers and Designers to shape technical and AI strategy
  • Develop and evolve scalable backend APIs, microservices, and LLM-orchestration layers
  • Build robust evaluation frameworks to test and improve model performance and reliability
  • Write clean, well-tested, maintainable code — including around probabilistic/AI components
  • Participate in code reviews, architecture discussions, and pair programming
  • Mentor junior engineers and help raise engineering and AI-quality standards
  • Contribute to a team culture of continuous learning and shared success

Benefits

  • Hybrid work model
  • Equity packages
  • Company events
  • Collaborative work spaces
  • Opportunities for professional growth
  • Inclusive community
  • Global opportunities and exposure
  • Authentic colleagues
  • Autonomy- You think in systems and care about long-term maintainability — including of AI/LLM pipelines
  • You enjoy collaborating and shaping ideas early, especially where the “right approach” isn’t obvious yet
  • You thrive in environments where you have ownership and influence
  • You’ve built or shipped features using LLMs, agents, embeddings, or similar AI tooling
  • You’re adaptable and excited to learn new AI techniques, models, and domains
  • You take pride in building reliable, high-quality AI-powered software
  • You’re comfortable mentoring others and sharing knowledge- Our interview process is technology-agnostic. We care more about strong engineering fundamentals, applied AI/ML judgment, and a learning mindset than specific framework experience

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