AI Engineer, Clearly

Salary not provided

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Mid and Senior level

London

3+ days a week in office (Victoria, London)

Turning complex data into AI-powered strategic decisions

Be an early applicant

Turning complex data into AI-powered strategic decisions

1-20 employees

B2BArtificial IntelligenceTransportBig dataMobilityAnalyticsSaaSEnvironmental

Be an early applicant

Salary not provided

Share Options

Mid and Senior level

London

3+ days a week in office (Victoria, London)

1-20 employees

B2BArtificial IntelligenceTransportBig dataMobilityAnalyticsSaaSEnvironmental

Company mission

To make sense of messy data for Fleet Managers, so they can make decisions with confidence that save time, costs and emissions.

Job

Company

Role

Who you are

Strong proficiency in JavaScript/TypeScript, React, and Next.js for frontend development.
Proficiency in Python for backend API development and AI integration.
Experience building applications with LLMs (e.g., OpenAI, Anthropic, open-source models).
Hands-on experience with agent frameworks (LangChain, LangGraph, etc.).
Comfortable working end-to-end—from database to backend to frontend.
Proven ability to deliver functional prototypes quickly.
Basic knowledge of version control (Git) and CI/CD pipelines
Strong problem-solving abilities and a proactive mindset
Excellent communication skills and ability to work collaboratively in a team
Willingness to learn and adapt to new technologies and challenges
Strong analytical skills with the ability to approach challenges creatively and effectively

Desirable

Experience with vector databases (Pinecone, Weaviate, Milvus, etc.).
Knowledge of async programming and event-driven systems.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation (Docker).
Understanding of prompt optimisation, evaluation frameworks, and AI safety considerations.
Prior startup experience or having shipped projects under tight timelines.

What the job involves

Build quick, high-impact demos and POCs to explore new AI capabilities.
Work closely with product teams to translate ideas into functional prototypes in days, not weeks.
Develop intuitive, polished UI components and applications in Next.js and React for showcasing AI features
Design, implement, and deploy LLM-powered workflows and applications
Use frameworks like LangChain, LangGraph, or similar to orchestrate complex multi-step agents
Optimise prompt engineering, retrieval-augmented generation (RAG), and tool integration
Build and maintain backend services (FastAPI or equivalent) to power AI features
Integrate AI APIs and internal ML models into scalable, secure systems
Manage data flows and storage relevant to LLM use cases (e.g., vector databases, embeddings)
Partner with designers, product managers, and other engineers to deliver features end-to-end
Share best practices on AI development and frontend–backend integration
Stay on top of trends in AI tooling, agentic architectures, and web app development

Application process

1. 30-minute call with Data Science Team
2. Take home case study and present to the team
3. Final Interview with our CEO

Salary benchmarks

Our take

As fleet operations grow more complex, data-driven decision-making is becoming essential for improving efficiency. Clearly is helping fleet managers do just that - using AI and data to deliver smarter insights across logistics and supply chains.

Through the platform, users can calculate their emissions, visualising impact down to the trip level. It also analyses different strategies to determine the most effective measures to implement, and can be used to assess and reduce the cost of reaching net-zero.

With support from the EIT Mobility accelerator program, and a platform built around actionable intelligence, Clearly is in a prime position to shape the future of fleet management.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Aug 2024

$4.3m

SEED

Total funding: $4.3m

Company benefits

25 days annual leave + bank holidays
Flexible hybrid working arrangements
Private healthcare (including dental and optical cover)
Monthly wellness allowance (gym, cycle to work, etc)
Dog-friendly office
Outstanding career progression opportunities
Ability to help shape our benefits package as we grow

Company HQ

Belgravia, London, UK

Leadership

Danielle Walsh

(Founder & CEO)

Previously VP of Digital Innovation at G-20Y Association, a Board Advisor at Lyra Ventures, Governing Board Member at REEEP, and Director of TMT IB (Future Cities & New Industries) at HSBC.

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