Full-Stack Engineer (AI SaaS)

We are seeking a Senior Full-Stack Software Engineer to help design, build, and operate scalable SaaS applications. This role emphasizes modern JavaScript development (Next.js / Node.js) combined with strong cloud and DevOps ownership on AWS.

You will work on a production SaaS codebase, collaborate closely with business stakeholders, and operate systems in real-world conditions. The ideal candidate is hands-on, pragmatic, and comfortable owning features from design through deployment., * Design, build, and maintain scalable SaaS applications using Next.js and/or Node.js.

• Own full-stack development across frontend, backend APIs, and data integrations using JavaScript / TypeScript.
• Design, deploy, and maintain AWS infrastructure using Terraform, including services such as VPC, EC2/ECS/EKS (as applicable), S3, CloudWatch, and IAM.
• Implement and operate CI/CD pipelines, monitoring, and observability to support production systems.
• Support and evolve large, long-lived codebases, focusing on performance, maintainability, and reliability.
• Collaborate with product and business stakeholders to translate requirements into technical solutions.
• Participate in on-call support (including occasional weekends) for production systems.
• Work closely with a distributed team via Zoom during overlapping US working hours.
• Design technical solutions, translate business requirements into actionable plans, and present updates to stakeholders.

• 4+ years of experience building SaaS applications using Next.js and/or Node.js.
• Strong full-stack development skills with JavaScript / TypeScript.
• Hands-on experience with AWS cloud infrastructure and Terraform for infrastructure as code.
• Solid understanding of DevOps practices, including CI/CD, monitoring, logging, and production support.
• Experience working with production systems, large codebases, and real-world operational constraints.
• Ability to reason about system design, trade-offs, and scalability.
• Comfortable collaborating in a remote-first environment and communicating clearly with technical and non-technical stakeholders.
• Excellent communication and presentation skills.

AI / LLM Exposure (Required)

• General awareness of how AI and LLMs are applied in modern software engineering, such as:
• API-based LLM integrations (e.g., OpenAI-style APIs)
• Developer tooling, copilots, or AI-assisted workflowsPrompting, embeddings, or basic RAG concepts
• Exposure may come from professional work, academic projects, personal experimentation, or self-directed learning.
• Strong interest in applying AI tools pragmatically to improve developer productivity and product capabilities.

Nice-to-Have Skills

• Experience or exposure to big data or analytics systems (e.g., Spark, data pipelines, BI tools).
• Experience working in high-growth SaaS or startup environments.
• Experience with container orchestration (EKS, ECS, or similar).
• Familiarity with modern deployment platforms or tooling (e.g., Vercel, Render, Supabase).

What Success Looks Like in This Role

• You can independently deliver production-ready features end-to-end.
• You take ownership of both code and infrastructure, not just one or the other.
• You understand how modern teams apply AI/LLMs as tooling and product capabilities, even if you're not an ML specialist.
• You make pragmatic engineering decisions that balance speed, quality, and long-term maintainability.

We offer a flexible work environment that supports both in-office collaboration and remote work. While this is not a fully remote position, team members have the flexibility to work remotely when appropriate.

Pay: £60,000.00-£85,000.00 per year