Full-stack Engineer

We are seeking a talented and versatile Full Stack Engineer to join our team at AgileRL and contribute to the further development of Arena, a web-based software platform for reinforcement learning training and RLOps.

As a Full Stack Engineer, you will play a key role in designing, implementing, and maintaining the frontend and backend components of Arena, enabling businesses to build and operationalise reinforcement learning models effectively.

Responsibilities

‍• Collaborate with the team to understand requirements, and design and build features for the Arena platform.
‍• Design and implement robust and scalable backend systems, APIs, and services to support machine learning model training, deployment, and management.
‍• Integrate and interact with reinforcement learning frameworks and libraries, ensuring seamless interoperability between frontend and backend components.
‍• Establish pipelines for automated build, testing, and deployment within the Arena platform.
‍• Stay up-to-date with the latest advancements in software development, MLOps, reinforcement learning, and best practices, incorporating them into the platform as appropriate.
‍• Provide technical guidance and support to internal users and external customers using the Arena platform.

‍Requirements

• Bachelor's or higher degree in Computer Science, Engineering, or a related field.
‍• Experience in developing data-intensive applications or working with MLOps tools.
‍• Proven experience as a Full Stack Engineer, with a focus on machine learning/AI applications.
‍• Familiarity with containerisation technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes).
‍• Proficiency in modern frontend frameworks and technologies such as React, Vue.js, or AngularJS.
‍• Experience in designing and implementing RESTful APIs and backend systems using frameworks like Node.js, Django, Rust or Flask.
‍• Familiarity with databases and data management techniques for handling large-scale datasets.
‍• Experience with cloud service providers such as AWS, GCP or Azure.
‍• Deep understanding of software engineering, security and DevOps principles and best practices.
‍• Strong problem-solving and communication skills, and the ability to work independently as well as in a team environment.

Compensation

• Competitive salary + significant stock options.
• 30 days of holiday, plus bank holidays, per year.
‍• Flexible working from home and 6-month remote working policies.
• Enhanced parental leave.
‍• Learning budget of £500 per calendar year for books, training courses and conferences.
‍• Company pension scheme.
‍• Regular team socials and quarterly all-company parties.
‍• Bike2Work scheme.

Join the fast-growing AgileRL team and play a key role in the development of cutting-edge reinforcement learning tooling and infrastructure.