Gen AI Staff Engineer

Sanderson; United Kingdom; Remote; GBP 75,600 - 92,400; Full time

Benefits offered by this job

Share scheme

6% matched pension

Job summary

A leading recruitment firm is seeking a Gen AI Staff Engineer for a remote role based in the UK. This position requires a skilled engineer to lead advanced AI solutions development, focusing on Machine Learning and LLM applications. Ideal candidates will have extensive experience in software development, robust communication skills, and the ability to drive technical direction. The role offers a competitive salary up to £84,000, along with benefits such as a share scheme and pension plan.

Qualifications

• Proven experience as a Staff-level engineer with hands-on software development expertise.
• Significant experience building GenAI solutions (ML and LLM).
• Exceptional communication, leadership, and mentoring skills.

Responsibilities

• Architect, build and maintain AI solutions.
• Lead technical design from requirements to live release.
• Drive technical excellence and mentor junior engineers.

Skills

Staff-level engineering experience

GenAI solutions development

Experience with REST APIs

SQL databases

Cloud experience

Containerisation knowledge

Prompt Engineering skills

Exceptional communication skills

Agile methodology knowledge

Tools

PostgreSQL

Docker

Kubernetes

Azure DevOps

Helm

Terraform

Job description

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This range is provided by Sanderson. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Tech stack: GenAI, LLMs, ML, backend APIs, cloud experience, containerisation, DevSecOps

Location: Fully remote, must be UK based

Salary: up to £84,000 (depending on experience)

Benefits: Share scheme, 6% matched pension and others

Contract type: Full time, permanent

Sanderson Recruitment are exclusively supporting a FTSE 100 Financial Services and Insurance business in the search for a Gen AI Staff Engineer.

This is a hands‑on technical leadership position, ideal for a dynamic and proactive engineer who thrives on solving complex challenges and driving technical excellence in a fast‑paced, innovative environment. You’ll lead the design, development and delivery of advanced AI solutions, including Machine Learning and LLM.

You’ll play a pivotal role in shaping the GenAI strategy, setting technical direction and ensuring robust, scalable and secure AI implementations. Working closely with engineering, data, security, architecture and operations teams, you’ll mentor engineers and help the organisation adopt GenAI responsibly.

Key Responsibilities

• Architect, build and maintain AI solutions, including ML and LLM applications.
• Lead technical design from requirements gathering to live release.
• Ensure seamless integration of AI components with APIs, data and user‑facing systems.
• Own testing, monitoring, security, performance and DevSecOps for AI systems.
• Drive technical excellence, set engineering standards and mentor junior engineers.
• Encourage and practice Test Driven Development and delivery best practices.
• Actively contribute to Agile ceremonies and technical forums.
• Address technical debt and champion continuous improvement initiatives.
• Collaborate with stakeholders, communicating effectively with both technical and non‑technical audiences.

Skills & Experience

• Proven experience as a Staff-level engineer with hands‑on software development expertise.
• Significant experience building GenAI solutions (ML and LLM).
• Experience with REST APIs and SQL databases (PostgreSQL, MySQL, MS SQL).
• Cloud experience, ideally with GCP and Vertex.AI or Azure and AzureAI.
• Familiarity with containerisation (Docker, Kubernetes, Helm, Terraform) and CI/CD pipelines (Azure DevOps, Jenkins).
• Advanced Prompt Engineering skills and experience with 3rd‑party models (e.g., Anthropic).
• Exceptional communication, leadership, and mentoring skills, with a proven ability to up‑skill and develop team capabilities.
• Understanding of Agile Scrum methodology and DevSecOps practices.
• Knowledge of identity management frameworks, security tools and performance testing.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

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