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Akkodis

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Python Developer

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Summary

Senior Python back-end engineer designing scalable services, APIs and microservices while helping build an AI-enabled proof of concept in a regulated financial environment. Core stack is Python, SQL (PostgreSQL/MySQL), REST and Git, with AI/LLM integration and cloud exposure preferred. London-based, three days per week onsite.

Senior Python Developer – AI & Back-End Engineering


About the Role

We are looking for an experienced Senior Python Developer to join a fast-paced development team.

The role requires a strong back-end Python engineer who has some exposure to AI development or AI-enabled applications. You do not need to be an AI/ML specialist; the priority is excellent core Python engineering skills combined with an interest in applying AI technologies to real-world solutions.


Previous experience within banking or financial services is highly desirable, particularly within regulated environments.

The role is London-based with three days per week onsite.


Key Responsibilities

  • Design, develop and maintain robust, scalable back-end applications and services using Python.
  • Contribute to the development of an AI-enabled Proof of Concept (PoC) within a regulated environment.
  • Integrate AI capabilities, models and APIs into existing and new back-end applications.
  • Work alongside technical, business and AI teams to identify and develop practical AI use cases.
  • Prototype and evaluate new AI-enabled functionality before progressing solutions towards production.
  • Design and develop APIs, microservices and data integrations to support application functionality.
  • Integrate third-party APIs, internal services and relevant data sources.
  • Ensure applications are performant, scalable, maintainable and secure.
  • Apply appropriate development controls and security practices when working within a regulated environment.
  • Troubleshoot, debug and enhance existing applications and services.
  • Participate in code reviews, testing and continuous improvement of development standards.
  • Produce and maintain clear technical documentation.
  • Work proactively within a fast-paced environment, taking ownership of development tasks and technical challenges.

Required Experience & Skills

  • 5+ years' commercial Python development experience, ideally within back-end software engineering.
  • Strong core Python programming and software engineering skills.
  • Experience designing and developing back-end applications, services and APIs.
  • Previous exposure to AI development, AI-enabled applications or AI-related PoCs.
  • Understanding of how AI/ML capabilities can be integrated into software applications.
  • Experience working with RESTful APIs and microservices architectures.
  • Strong SQL skills and experience working with relational databases such as PostgreSQL or MySQL.
  • Experience with Git or similar version control systems.
  • Strong understanding of software development best practices, testing and maintainable code.
  • Excellent problem-solving and analytical skills.
  • Proactive mindset with the ability to operate effectively within a fast-paced development environment.
  • Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders.

Preferred Experience

  • Previous experience within banking or financial services.
  • Experience delivering software within regulated or highly controlled environments.
  • Practical experience integrating AI/ML models, LLMs or AI APIs into applications.
  • Experience contributing to AI-focused prototypes or Proofs of Concept.
  • Exposure to cloud platforms such as AWS, Azure or Google Cloud.
  • Experience with distributed systems and cloud-native architectures.
  • Familiarity with additional programming languages such as Java or C++.
  • Understanding of financial markets, trading or regulatory technology would be advantageous but is not essential.

Ideal Profile

You will be a strong Python engineer first, rather than a niche AI specialist. You should be comfortable picking up new technologies quickly, experimenting with AI capabilities and applying them within robust back-end applications.

Experience within banking would be a significant advantage, but we are particularly interested in developers who can combine strong Python engineering, some practical AI exposure and a proactive approach to problem-solving.

Skills

See also

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