Why This Role Stands Out
You can drive significant impact by building the foundational AI platform for a cutting-edge wealth management solution, working with a highly experienced team to accelerate AI development. This role is perfect for engineers passionate about creating production-grade AI systems and seeing ideas come to life rapidly. Apply now to join a well-funded company poised for future success.
Quick Overview
Job Description
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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