AI-Integrated Systems Engineer — Build & Deploy

Amalga Ltd; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Cycle to work scheme

Pension scheme

Life insurance

Staff discount in retail outlets

Personal development plan

Job summary

Amalga Ltd is looking for a Forward-Deployed Engineer to embed in the Heathrow-based operations. You will design, build and ship integrations across the business systems, wiring AI into daily operations and owning what you deploy in production.

You will determine where automation adds value, balancing deterministic software with AI where appropriate, and lead data-driven improvements across platforms and reporting.

Qualifications

• Hand-on senior software engineer capable of architecting complete systems.
• Fluent in system-to-system integrations: APIs, authentication and data modeling.
• Deep fluency with AI development tools and AI models/agents; knows where AI belongs.
• Proficient in Python and TypeScript; comfortable with databases, SQL, web tech, deployment and self-hosting.
• Able to make architecture decisions independently and own production systems including security and auditing.
• High agency; able to identify meaningful problems and drive them to a shipped result.

Responsibilities

• Architect and build integrations between core business systems (e.g., Sage, Joblogic, Microsoft 365).
• Wire AI into operations, orchestrate AI models and agents alongside traditional software.
• Develop websites and portals for customers and internal use, with control over hosting and stack.
• Build live data reporting and dashboards, owning the data layer end to end.

Skills

Hands-on software engineer

System integrations

AI tools (Codex/Claude Code)

Python

TypeScript

SQL/Databases

Deployment/Self-hosting

Security & auditing

Clear communication

Tools

APIs/Interfaces

Event-driven design

Job description

Amalga Ltd is looking for a Forward-Deployed Engineer to embed in the Heathrow-based operations. You will design, build and ship integrations across the business systems, wiring AI into daily operations and owning what you deploy in production.

You will determine where automation adds value, balancing deterministic software with AI where appropriate, and lead data-driven improvements across platforms and reporting.