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- Tasks: Design and develop AI platforms to revolutionise construction workflows and decision-making.
- Company: Join a pre-seed startup transforming the construction industry with innovative digital solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in a rapidly evolving sector.
- Qualifications: Strong AI/ML background, experience in startups, and solid software engineering skills.
- Other info: Dynamic startup culture with hands-on involvement and rapid career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The Business Digitech are partnered with a pre-seed construction technology startup on a mission to revolutionise how the built environment adopts digital solutions. Our focus is on building intelligent AI-powered platforms that can streamline workflows, automate decision-making, and drive efficiencies across the construction lifecycle.
The business are seeking an AI Engineer with a passion for building AI agent platforms from the ground up. You will play a pivotal role in designing, developing, and deploying intelligent multi-agent systems that integrate with construction data and industry workflows. Working closely with the founding team, you will have end-to-end ownership from research and prototyping through to production-level implementation. This role is best suited to someone entrepreneurial, hands-on, and excited about applying AI to solve real-world problems in a sector ripe for digital transformation.
Responsibilities
- Design and build AI agent frameworks to automate construction-related tasks (knowledge retrieval, project management assistance, data interpretation, etc.).
- Develop pipelines for integrating construction datasets (structured and unstructured) into AI-driven systems.
- Research and implement advanced methods in multi-agent collaboration, planning, and reasoning.
- Contribute to system architecture, APIs, and scalable backend services to support AI agents in production.
- Collaborate with the founding team to align product features with customer pain points.
- Rapidly prototype and iterate to validate concepts with real users in the construction sector.
You’ll Bring
- Strong background in AI/ML engineering (Python preferred), with experience in LLMs, reinforcement learning, or autonomous agents.
- Experience in a start-up at pre-seed or seed A funding round.
- Familiarity with frameworks such as LangChain, AutoGen, Hugging Face, Ray, or similar agentic/LLM platforms.
- Preferably a masters or a doctorate in computer science and/or related field.
- Solid software engineering skills (APIs, microservices, cloud deployment, version control).
- Experience building from scratch in a startup, research, or fast-moving environment.
- Interest or exposure to construction technology, project management tools, or complex workflows (a plus, not essential).
- Curiosity, creativity, and drive—the ability to thrive in a lean, fast-changing early-stage company.
AI Engineer employer: DigiTech Resourcing
Contact Detail:
DigiTech Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the construction tech space, attend industry events, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to multi-agent systems or construction data. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on relevant AI concepts and frameworks like LangChain or Hugging Face. Be ready to discuss how you've applied these in real-world scenarios, as this will impress the founding team.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join us in revolutionising the construction industry with AI. Your dream job could be just a click away!
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential in the construction sector shine through. We want to see how excited you are about building intelligent platforms that can make a real difference!
Tailor Your Experience: Make sure to highlight your relevant experience in AI/ML engineering and any projects you've worked on that align with our mission. We love seeing how your background fits into what we're trying to achieve at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at DigiTech Resourcing
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around LLMs and reinforcement learning. Be ready to discuss specific projects you've worked on, particularly those involving multi-agent systems or construction data.
✨Show Your Startup Spirit
This role is all about being hands-on and entrepreneurial. Share examples of how you've thrived in fast-paced environments or contributed to building something from scratch. Highlight your adaptability and willingness to take initiative.
✨Get Familiar with the Tools
If you’ve worked with frameworks like LangChain or Hugging Face, be prepared to talk about your experience. Even if you haven’t, do a bit of research on these tools and think about how they could apply to the role.
✨Align with Their Vision
Understand the company's mission to revolutionise construction technology. Think about how your skills can help solve real-world problems in this sector. Be ready to discuss how you can contribute to their goals and align product features with customer needs.
