Senior Engineer

Join Rainbird as a Senior Knowledge Engineer, and transform human expertise into explainable, trustworthy AI solutions. Using our low-code decision intelligence platform, you’ll rapidly build AI models that deliver clarity and confidence at scale, empowering clients across industries. Collaborate, innovate, and shape the future of AI-driven decision‑making.

Contract Type: Permanent, Full Time
Location: London – Hybrid – with flexibility to work with global clients
Package: Competitive, based on experience

Rainbird is redefining the future of explainable AI. Our platform enables organisations to build deterministic, transparent decision‑automation systems for industries where accuracy, trust, and accountability matter most – including healthcare, banking, insurance, and professional services.

At the heart of Rainbird is a symbolic reasoning engine that makes every automated decision fully transparent, auditable, and justifiable. We empower enterprises to scale their expertise, combining human insight with machine precision.

We’re growing fast in the UK and US, and this is an opportunity to join a mission‑driven team shaping the future of trusted AI. Change will be part of your everyday life, working closely with colleagues remotely both here and in the US – adaptability is the name of the game… Interested?

Impactful work
:
Help some of the world’s biggest enterprises solve complex, high‑stakes business problems.

Cutting‑edge technology
:
Work at the intersection of symbolic reasoning, large language models, and explainable AI.

Growth & learning
:
Accelerate your career with hands‑on experience in knowledge modelling, decision automation, and hybrid AI.

Remote‑first culture
:
Work flexibly from anywhere, supported by a collaborative, inclusive, and curious global team.

Great benefits
:
Competitive pay, generous holiday allowance and opportunities to lead in a rapidly expanding company.

As a Senior Knowledge Engineer
, you’ll play a pivotal role in capturing expert knowledge from clients and transforming it into intelligent, transparent decisioning systems using the Rainbird platform.

This is a hands‑on, hybrid role
: part business analyst, part solution builder. You’ll work directly with client stakeholders to analyse complex decision processes, translate them into structured logic, and build auditable reasoning systems within the Rainbird Studio. This role is ideal for someone who thrives on solving complex problems
, enjoys working closely with clients, and has a passion for turning human expertise into scalable, intelligent systems.

Client Engagement & Analysis

• Understand client decision‑making and challenges.
• Capture knowledge via analysis/workshops/interviews.
• Bridge business and technical teams.

Solution Implementation & Delivery

• Lead end‑to‑end Rainbird implementations.
• Build reasoning graphs, workflows, and tests.

Define/document functional requirements.

• Knowledge Capture & Modeling
• Extract decision logic from experts/docs.
• Translate into and refine Rainbird graphs.
• Maintain governance and scalability.
• Act as Rainbird expert/champion.
• Create reusable components and tools.
• Improve methodology and contribute best practices.

Team Contribution

• Align business/technical discussions.
• Lead training and knowledge sharing

• 2–4 years’ experience in a consulting, implementation, or business analysis role with direct client engagement and requirements gathering.
• Experience delivering or supporting software implementations within an enterprise environment.
• Strong understanding of Large Language Models and prompt‑engineering principles.
• Excellent analytical and problem‑solving skills, including debugging complex logic.
• Clear communicator able to engage confidently with both technical and non‑technical stakeholders.
• Highly organised and self‑motivated, capable of supporting multiple client projects simultaneously.

Preferred

• Ability to read and manipulate structured data formats such as JSON and XML.
• Experience with rules engines, decision management systems, or BPM/low code platforms.
• Knowledge of formal logic, knowledge representation, or semantic technologies (RDF,…