Intryc uses AI to automate quality assurance for customer support. Consumer enterprises have millions of customer support tickets annually. They need to constantly evaluate support agents’ performance and compliance. Typically they evaluate 4-5% of those interactions manually but it's slow, expensive and not scalable. Intryc's AI can evaluate 100% of all customer interactions, in real time, at half the cost.

What we are looking for

We're looking for a self-starter Full Stack Engineer who enjoys building highly scalable infrastructure, especially using AWS and cutting edge infrastructure tools, in a fast paced environment. You will be in charge of build end to end infrastructure systems to host all our apps and will collaborate closely with all members of our team. You should be a problem solver, think analytically, and communicate well.

What you will be doing

• Defining the design and building scalable software.
• Developing client-side and server-side applications and secure internal and public APIs.
• Contribute to a high-quality codebase, develop tests, and participate in code reviews.
• Owning the full product development lifecycle for new internal infrastructure and product experiences end-to-end.

What you will need

• 3+ years of experience as a full-stack developer, ideally working on B2B SaaS products.
• Proficiency in Python with a strong foundation in its ecosystem.
• Strong experience with frontend development (Remix, React, Typescript).
• Solid experience in backend development with Python, including frameworks like Django, Flask or FastAPI.
• Strong knowledge of algorithms and data structures with the ability to implement and optimize them effectively.
• Experience in building and deploying robust, scalable web applications.
• A keen analytical mind with strong problem-solving and creative thinking skills.
• Excellent communication skills, with the ability to articulate technical concepts clearly and effectively.

Preferred Experience

• Experience with scripting languages.
• Experience with AWS, Kubernetes, helm charts, and developing CI/CD pipelines.
• Knowledge in managing load balancers, EC2/ECS instances, and scaling infrastructure.

Benefits

• You’ll get to work with incredible talent in a hot and fast-growing start-up in the Gen AI and LLM space.
• Generous stock options.
• Competitive salary.
• Remote first policy with 25 days of holiday a year plus bank holidays.
• Ad hoc in-person sessions to jam with the rest of the team in Central London.
• Pension plan.
• Private health insurance.
• We’ll arm you with all of the latest tech equipment.

On a high level, our tech stack is react/remix and python. We are in AWS. We are currently adding LLMs and other novel ML algorithms to our infrastructure to perform operational and analytics tasks. We will have to fine tune, train, and improve to ensure accuracy, while keeping our customers data secure. The core focus is to build the application and scale it to multiple clients and high volumes of data. We are currently onboarding large enterprise clients and we are expecting critical and high data/events volume.