Job VC
Senior Python Engineer (with AI experience) (#5172)
Technologies
Description
About the client:
Our client is a cutting-edge, technology focused SaaS company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data.
Role description
You will join a 100+ strong Engineering team driving the future of data-driven statistics, machine learning, and AI software solutions. As part of a talented group of Python developers within a dynamic, fast-scaling company, you will tackle meaningful engineering challenges — and now, you will be at the forefront of integrating AI-assisted development practices into the team’s everyday workflow. Our backend engineers primarily work with Python and FastAPI, broader tech stack includes: Kubernetes, Docker, Flask, Pyramid, Git, MySQL, Mongo, Azure Cosmos Db, Celery, Temporal
Responsibilities:
• Design, build and maintain robust, scalable Python services and APIs
• Integrate and extend AI/LLM capabilities using the OpenAI API and related tooling
• Accelerate development velocity through effective use of GitHub Copilot and AI-assisted code review
• Apply SDD practices to ensure features are specification-aligned and well-documented from day one
• Refactor existing codebases and perform thorough peer code reviews
• Solve complex performance bottlenecks and architectural challenges at scale
• Collaborate with Product and Design to translate end-user needs into pragmatic technical solutions
• Champion engineering best practices, clean code principles and knowledge sharing within the team
Requirements:
• 6+ years of professional software development experience
• Strong Python expertise — production-grade services, libraries and tooling
• Proven experience building and consuming REST-based web services
• Daily use of GitHub Copilot or equivalent AI coding assistants in a professional context
• Familiarity with SDD (Specification-Driven Development) workflows
• Working knowledge of BMAD delivery methodology for AI/ML features
• Solid understanding of SQL and/or NoSQL databases
• Clear understanding of Agile/SCRUM methodology
• Strong grasp of software design and architectural patterns (SOLID, Clean Architecture, etc.)
• Confident written and spoken English for daily collaboration in an international team
Nice to have:
• Containerisation — Docker, Kubernetes or equivalent orchestration platforms
• Background in clinical data, life sciences or regulated software environments
• Contributions to open-source AI/ML projects
• Experience working with Azure, understanding of CI/CD
We offer*:
Flexible working format — remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
*not applicable for freelancers
Our client is a cutting-edge, technology focused SaaS company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data.
Role description
You will join a 100+ strong Engineering team driving the future of data-driven statistics, machine learning, and AI software solutions. As part of a talented group of Python developers within a dynamic, fast-scaling company, you will tackle meaningful engineering challenges — and now, you will be at the forefront of integrating AI-assisted development practices into the team’s everyday workflow. Our backend engineers primarily work with Python and FastAPI, broader tech stack includes: Kubernetes, Docker, Flask, Pyramid, Git, MySQL, Mongo, Azure Cosmos Db, Celery, Temporal
Responsibilities:
• Design, build and maintain robust, scalable Python services and APIs
• Integrate and extend AI/LLM capabilities using the OpenAI API and related tooling
• Accelerate development velocity through effective use of GitHub Copilot and AI-assisted code review
• Apply SDD practices to ensure features are specification-aligned and well-documented from day one
• Refactor existing codebases and perform thorough peer code reviews
• Solve complex performance bottlenecks and architectural challenges at scale
• Collaborate with Product and Design to translate end-user needs into pragmatic technical solutions
• Champion engineering best practices, clean code principles and knowledge sharing within the team
Requirements:
• 6+ years of professional software development experience
• Strong Python expertise — production-grade services, libraries and tooling
• Proven experience building and consuming REST-based web services
• Daily use of GitHub Copilot or equivalent AI coding assistants in a professional context
• Familiarity with SDD (Specification-Driven Development) workflows
• Working knowledge of BMAD delivery methodology for AI/ML features
• Solid understanding of SQL and/or NoSQL databases
• Clear understanding of Agile/SCRUM methodology
• Strong grasp of software design and architectural patterns (SOLID, Clean Architecture, etc.)
• Confident written and spoken English for daily collaboration in an international team
Nice to have:
• Containerisation — Docker, Kubernetes or equivalent orchestration platforms
• Background in clinical data, life sciences or regulated software environments
• Contributions to open-source AI/ML projects
• Experience working with Azure, understanding of CI/CD
We offer*:
Flexible working format — remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
*not applicable for freelancers