AI Engineer

Reed

London, UK

6 days ago

Apply on www.careerboard.com

Prepare application

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Compensation

£156,000.0 - £169,000.0

Working hours

Regular working hours

Job source

www.careerboard.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Architectural Patterns Databases Continuous Integration JSON Python (Programming Language) PostgreSQL Machine Learning Operational Databases Systems Development Life Cycle Cloud Services

+5 more

Software Engineering SQL Databases YAML Git Restful APIs

Job description

Manage and deploy certified platform building blocks, handling their life cycle from promotion to deprecation.
Execute engagement deployment runbooks, including database provisioning and workflow configuration.
Configure workspaces, access control, roles, and manage per-engagement data-layer administration.
Maintain documentation and validate deployments using verification checklists.
Translate business and audit requirements into configured agent workflows and platform capabilities.
Prototype, test, and refine solutions through collaboration with end users and rapid feedback cycles.
Drive platform adoption by coaching users and communicating technical concepts effectively across various stakeholder levels.
Capture insights from engagements to feed into platform architecture and product evolution.
Provide first-line support and incident management, maintaining platform observability and integrity.

Requirements

Strong software engineering background with experience in SDLC, including Git, testing, CI/CD, and configuration-as-code.
Proficiency in SQL, PostgreSQL, JSON/YAML, and Python.
Experience in developing AI/ML solutions using third-party platforms and APIs.
Systems thinking with experience in running production data or AI systems.
Knowledge of RESTful APIs, cloud services, and architecture patterns.
Ability to work from architectural documentation and manage incidents with strong documentation practices.
Proven ability to work closely with business domain experts and translate requirements into technical solutions.
Excellent communication skills, capable of coaching non-technical users and collaborating with diverse stakeholders.

Benefits & conditions

Opportunity to work on innovative projects at the intersection of AI and audit.
Exposure to advanced technology platforms and industry experts.
Competitive contract terms and engagement flexibility.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com

Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

1:35 min

Centralizing configuration logic with native YAML block references

Matthieu Vincent · Europe 2026 Virtual

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

1:38 min

Shifting software engineering skills for an AI-driven future

Patrick Schnell · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Engineering Mindset in the Age of AI - Gunnar Grosch, AWS thumbnail