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Senior Full Stack Engineer

Inephany
Greater London
9 months ago
Applications closed

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Senior AI/Machine Learning Engineer

Inephany is building revolutionary foundation models that enhance the efficiency and intelligence of other AI systems. By rethinking the way models learn and adapt, we are enabling a new era of faster, smarter, greener, and more cost-effective AI training and deployment. Join us in shaping the future of AI optimisation.


About the Role


We're seeking an experienced Software Engineer to build and maintain a production-grade API that serves machine learning models. You'll be responsible for the entire infrastructure stack, from API design to deployment and scaling, working with cutting-edge ML technologies and cloud-native architectures. You’ll work at the intersection of ML operations, distributed systems, and cloud infrastructure to deliver robust solutions that power our AI capabilities.


Key Responsibilities


  • Design, develop, and maintain scalable APIs using FastAPI and Python
  • Implement and optimise ML model serving infrastructure for production environments
  • Collaborate with ML engineers to optimise model deployment and training pipelines
  • Ensure high availability, performance, and security of the API infrastructure
  • Participate in code reviews and maintain high quality coding standards
  • Develop and maintain a modern web portal for analytics 
  • Drive best practices for system reliability and scalability


Required Skills & Experience


  • 5+ years of experience in software development, with at least 3 years focusing on api platform development of distributed systems (microservices architecture)
  • Strong proficiency in Python and FastAPI or similar Python web frameworks
  • Proven track record of building and maintaining high-traffic production systems with Kubernetes and Terraform
  • Proven experience with frontend development using React/Angular/Vue.js
  • Solid understanding of ML model deployment and serving in production


Preferred Qualifications


  • Deep experience with PyTorch, and Tensorflow or JAX
  • Expertise in big data processing frameworks, stream processing, and real-time analytics (Apache Hadoop Ecosystem e.g.)
  • Multi-cloud experience (AWS, GCP, Azure)


What we offer


  • Highly Competitive salary
  • Impactful Work
  • Be part of a groundbreaking journey in developing highly novel RL-based technologies where your work will directly shape the future of the company and the industry.
  • Learning and Growth
  • Opportunities to work on cutting-edge technologies.
  • Hands-on experience in solving complex, impactful engineering and scientific challenges.
  • Access to mentorship from experienced founders and advisors.
  • Equity/Stock Options
  • A significant stake in the company, offering the chance to share in our success as we grow.
  • Ownership and Autonomy
  • Freedom to take ownership of projects and innovate without red tape.
  • A voice in shaping the company's engineering culture and technical direction.
  • Collaborative Environment
  • A small, tight-knit team where your contributions are valued.
  • A culture that fosters creativity, learning, and mutual support.
  • Career Advancement
  • The potential to grow into a leadership role as the team expands.
  • Exposure to multidisciplinary challenges in a fast-moving environment.
  • Mission-Driven Work
  • An opportunity to solve meaningful, real-world problems with high societal and technological impact.
  • Perks
  • Office perks, e.g. coworking space, snacks, and regular team events
  • Budget for personal development, such as attending conferences or courses.
  • Hardware/equipment of your choice.

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