Software Engineer - AI

Atarus; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

Competitive salary plus equity

High-spec laptop

Cycle-to-work scheme

Regular team events

Cycle-to-work

Job summary

A high-growth FinTech company is seeking a Software Engineer in London offering a hybrid work model. The role involves designing large-scale systems with a focus on AI and Generative AI. Candidates should have a strong understanding of cloud-native architectures and team collaboration. Benefits include a competitive salary, work-life balance with 25 days of holiday, and a flexible approach to in-person collaboration. The ideal candidate has over 5 years of experience and a passion for solving real-world business problems.

Qualifications

• 5+ years of experience in designing and engineering large-scale systems.
• Experience with cloud-native tooling and automation.
• Familiarity with Generative AI tools.
• Mentor other engineers and help raise the bar across the team.
• Prefer simple, pragmatic solutions over unnecessary complexity.
• Think broadly about how technical decisions affect the wider business.
• Leverage Generative AI tools to improve productivity and decision-making.

Responsibilities

• Design and engineer production-grade systems focused on business impact.
• Work in cross-functional teams with a DevOps approach.
• Mentor junior engineers to elevate team standards.
• Work in cross-functional, autonomous teams.
• Leverage Generative AI tools to boost productivity and decision making.

Skills

Large-scale system design

DevOps culture

Mentoring other engineers

AI and Generative AI applications

Problem-solving in fast-moving environments

Tools

Python

TypeScript

AWS

GCP

Docker

Terraform

Job description

Software Engineer – AI - London / Hybrid (UK-based)

A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.

Role 👋

This role sits within a product-led engineering team focused on applying AI and Generative AI to real-world business problems. You’ll work on large-scale systems where impact is measured by outcomes, not output.

You will:

• Design and engineer large-scale, production-grade systems (5+ years’ experience)
• Focus on business impact rather than lines of code
• Embrace DevOps culture: you build it, you run it
• Work effectively in cross-functional, autonomous teams
• Mentor other engineers and help raise the bar across the team
• Prefer simple, pragmatic solutions over unnecessary complexity
• Stay effective and organised in fast-moving, ambiguous environments
• Think broadly about how technical decisions affect the wider business
• Leverage Generative AI tools to improve productivity and decision-making

Nice-to-Have Skills 🌟

• Experience building AI or LLM-powered applications
• Knowledge of NLP or intelligent document processing
• Familiarity with vector databases (e.g. Pinecone, Weaviate)
• Experience with search platforms (e.g. OpenSearch, Elasticsearch)
• Exposure to agentic workflows or orchestration frameworks
• Awareness of MCP (Model Context Protocol)

The team is pragmatic and cloud-native. Current tooling includes:

• Languages: Python, TypeScript
• Testing: Jest, React Testing Library, Cypress, pytest
• Cloud: AWS, GCP
• Infrastructure: Docker, ECS Fargate, Terraform
• CI/CD: GitHub Actions
• Collaborate: Pair programming and mission-driven squads
• Outcome-focused: Solve real user problems tied to business results
• Continuously improve: Fast feedback, learning-first mindset
• User-centric: Decisions driven by data and direct user insight
• Test-first: Outside-in testing with behaviour-focused scenarios
• End-to-end ownership: Lead features from idea to production
• Cloud-native: Automation-first, security by design

You’ll be part of an inclusive engineering culture that values:

• Diverse perspectives and open discussion
• Psychological safety and trust
• Teams that are engaged, motivated, and genuinely enjoy working together

What’s on Offer 😍

• Hybrid working: Flexible, trust-based approach with optional in-person collaboration
• Work–life balance: 25 days holiday + bank holidays, enhanced family leave
• Compensation: Competitive salary plus equity
• Equipment: High-spec laptop (macOS or Ubuntu)
• Socials: Regular team and company events
• Benefits: Cycle-to-work scheme and EV support