Full stack engineer (ai saas) Work, Jobs in Bootle, Msy (with Salaries)

Full-Stack Engineer (AI SaaS)
Vizly —Liverpool
- £60,000 - £85,000 a year
- Weekend availability
- System design
- Master's degree
- AWS
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Full-Stack Engineer (AI SaaS)

Vizly
Liverpool

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Job details

Full-time
£60,000 - £85,000 a year

Qualifications

CI/CD
Cloud architecture
Node.js
Law
Stakeholder collaboration
Big data
Software deployment
Stakeholder liaison
Spark
System design
Software development operations experience
Master's degree
Cloud engineering experience
AWS
CI/CD pipelines
JavaScript
Terraform
Back-end development
APIs
Front-end development
S3
Business requirements
Solution architecture
SaaS
AI
DevOps implementation
Software development or architecture experience
TypeScript
Communication skills
Infrastructure provisioning automation
Terraform provisioning

Full job description

Overview

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.

Please Note

We are not able to provide any sponsorship.
Local candidates are preferred for this onsite role.

Key Responsibilities

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.

Required Skills & Experience

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

Work Location: In person

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