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Nevis Wealth

Software Engineer (Python Backend)

Reposted 20 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Software Engineer (Python) role involves developing and maintaining an AI platform, building scalable APIs, and collaborating with cross-functional teams to enhance AI workflows for financial firms.
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About Nevis

Nevis is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis.

Nevis was founded by an exceptional team of ex-Revolut executives and has raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit.

The Role

We are looking for an exceptional Software Engineer (Python) to help build the AI platform that powers intelligent workflows for the world’s top financial firms.

In this role, you will design and implement the Python systems, services, and orchestration layers that accelerate AI development across Nevis. You’ll work across applied AI, data pipelines, model execution frameworks, agentic systems, retrieval infrastructure, and backend components that support our AI products.

You’ll thrive here if you love building production-grade AI platforms, care about performance and reliability, and want to work on systems that move from idea to production in days. You’ll be joining a world-class engineering team with deep experience building AI systems at scale.

What You’ll Do
  • Build and evolve Nevis’ Python-based AI platform, powering core workflows and agentic automation.

  • Develop model orchestration, data processing pipelines, retrieval systems, and execution runtimes for applied AI features.

  • Create scalable APIs, services, and internal tools enabling rapid development, evaluation, and deployment of AI systems.

  • Architect robust systems for model inference, prompt execution, vector retrieval, and multi-step agent reasoning.

  • Maintain high engineering standards through clean code, testing, observability, and CI/CD.

  • Collaborate closely with AI engineers, product managers, and designers to ship features used by thousands of clients.

  • Own greenfield AI platform components from architecture through production rollout.

  • Participate in design reviews, code reviews, and technical debates that shape the future of Nevis’ technical direction.

Who You Are
  • 4+ years of experience in Python engineering, ideally building AI platforms, ML infrastructure, or applied AI products.

  • Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals.

  • Hands-on experience building production systems involving:

    • LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration).

    • Data pipelines, ETL, embeddings, or vector search

    • Retrieval-augmented generation (RAG) or model-backed workflows

    • High-performance APIs and distributed services

  • Strong understanding of modern cloud environments (AWS preferred).

  • Solid foundation in computer science, distributed systems, or related fields.

  • Fast learner with a bias for action and a strong ownership mindset.

  • Excellent communication and collaboration skills.

  • Comfortable operating in a fast-paced, high-growth environment.

Nice to Have
  • Experience shipping applied AI or ML-powered products in production.

  • Knowledge of vector databases, feature stores, or streaming systems.

  • Background in fintech, financial services, wealth management, or startups.

Why Join Nevis?
  • Work alongside a world-class founding team backed by Sequoia, ICONIQ, and Ribbit.

  • Build core systems at a hyper-growth AI startup redefining wealth management.

  • Fast-paced environment with huge scope for ownership, impact, and career growth.

  • Mission-driven culture with global industry-changing potential.

  • 25 days’ annual leave.

  • Private medical insurance.

  • Competitive salary and benefits, including company equity.

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