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Senior Full-Stack AI Engineer

Dexterous

New
Senior 🇬🇧 English
React Next.js TypeScript FastAPI Python PostgreSQL MongoDB GPT-4 LangChain CrewAI Terraform AWS Docker Kubernetes

Job description

About the role

Dexterous is a values-driven organisation that runs internal Finance, HR and AI teams for its clients, combining off-the-shelf solutions, RPA and a global workforce to deliver scalable teams. This role sits in the newly created Dexterous AI unit, which builds intelligent, end-to-end financial tools for small-to-medium businesses. As a Senior Full-Stack AI Engineer you will work across the full stack to design and build scalable AI-powered applications, helping develop the MVP and define how finance operations look in an automated world.

Key responsibilities

  • Build responsive, secure, high-performance web apps with React/Next.js and TypeScript, including dashboards, bookkeeping tools and AI-assisted workflows, working with designers on accessible components and optimising page load times.
  • Design RESTful and GraphQL APIs with FastAPI (Python), maintain PostgreSQL and MongoDB schemas, integrate with Xero, MYOB and banking APIs, and implement secure authentication, authorisation and role-based access control.
  • Use AI/LLM frameworks (GPT-4.1+, LangChain, CrewAI) for document OCR, categorisation and financial insights; build data pipelines for document ingestion and tune prompts and model performance.
  • Own features from planning to deployment, collaborate with Product, Design and QA on sprint goals, and help maintain 99.9% uptime through monitoring, logs, metrics and incident response.

Required profile

  • 10+ years of experience as a Full-Stack or Machine Learning Engineer in fast-paced environments.
  • Expert React, TypeScript and Next.js, including SSR and SSG.
  • Strong Python/FastAPI backend experience, database modelling and secure authentication (JWT, OAuth2).
  • Hands-on experience with prompt engineering and deploying LLMs such as GPT-4, LLaMA or open-source equivalents.
  • Familiarity with ML serving frameworks (TorchServe, BentoML) and container orchestration (Docker, Kubernetes).
  • Deep knowledge of the AI/ML lifecycle, from data preprocessing to model monitoring and retraining.
  • Agile/Scrum, user stories, acceptance criteria and code reviews.
  • Ability to turn accounting, bookkeeping and reporting requirements into scalable features; experience with financial APIs is a plus.
  • Excellent English communication skills.

Required skills

  • React, Next.js, TypeScript
  • FastAPI, Python
  • PostgreSQL, MongoDB
  • GPT-4, LangChain, CrewAI
  • Terraform, AWS

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Published 8 hours ago

Expires 1 month from now

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