Full-stack Engineer AI

Job title: Full-stack Engineer with AI
Work Location: remote
Experience:5-6 years
Education

Qualification:

B.A.

Roles and Responsibilities:

• Lead by example by delivering great, scalable, well-tested code to add new features to the platform.
• Collaborate with product management, UX/usability/front-end specialists, QA testers, and our internal users to deliver a world-class User Experience across multiple platforms for multiple services
• Comfortable working independently, within a team and across multiple teams to ensure that we deliver the best customer experience for our services.
• Performance optimisation and problem diagnosis;
• Designing/Developing for high-availability;
• Designing/Developing and testing new features;
• Supporting release and documentation of developed features
• Estimating the effort required to develop and implement;
• Help defining coding standards and development processes;
• Provide out of hours support as part of an on-call rotation

Required Skills & Desired Skills

• Strong programming skills with Go and Java for backend services
• Proven experience of developing and maintaining enterprise grade systems at scale
• Experience with building REST/HTTP based services
• Proven experience building AI driven solutions. This could include the use of agentic AI or other machine-learning based applications. The ideal candidate should be fully conversant in how these technologies can be applied and up-to-date with the current state of the sector as a whole. Use of the AWS AI solutions would be a huge bonus (Bedrock, Sagemaker etc).
• Experience dealing with highly concurrent, distributed architectures/systems
• A keen sense of seeing things from our customers’ point of view
• A drive to always leave things better than how you found them. That applies to code, processes, interactions with people and every other aspect of your work life.
• Understanding of UX Design, experience with delivering SaaS-based products, and a passion for learning new technologies are a plus.
• Willingness to get hands dirty and not afraid of low level details;
• Ability to effectively communicate problems and solutions to the different team members.
  
  HTML and CSS3
• Cloud experience (ideally AWS)
• SRE exposure