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- Tasks: Lead the development of an AI-powered relationship intelligence platform and enhance its capabilities.
- Company: Join an innovative startup transforming fundraising with cutting-edge AI technology.
- Benefits: Enjoy a fully remote role, flexible work style, and significant impact on company direction.
- Why this job: Be at the forefront of AI innovation and shape the future of professional networking.
- Qualifications: 3-8+ years in software engineering or AI, with strong backend and system design skills.
- Other info: Fast-paced environment with opportunities for autonomy and career growth.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Location: Fully remote (EMEA timezone)
Start date: ASAP
Language: Fluent English required
Industry: AI / Fintech / B2B SaaS Marketplace / Graph AI
About The Company
Pragmatike is recruiting on behalf of an early‑stage startup building an AI‑powered relationship intelligence and fundraising platform that connects funds, investors, and networks through a private relationship graph. The platform leverages graph architecture, data pipelines, and AI‑driven recommendations to transform professional networks (LinkedIn, email, CRM, teams, advisors, and portfolio) into intelligent warm introduction paths. By combining relationship intelligence with AI and scalable infrastructure, the company aims to make fundraising faster, more efficient, and significantly more predictable. The product is already built and validated, and the current focus is on scaling the graph, strengthening the AI layer, improving recommendation quality, and building strong network effects and technical defensibility. The team is product‑driven, fast‑moving, and focused on building a scalable AI‑native platform from the ground up.
About The Role
We are looking for a hands‑on AI Engineer Lead to drive the technical development of the Graph AI platform. This is not a managerial‑only position — it is a deeply technical builder role. You will be directly responsible for improving and scaling the relationship graph, developing AI‑driven matching and recommendation systems, and shipping core product and infrastructure features. You will work closely with the founders and play a critical role in shaping the technology roadmap, product direction, and system scalability while building a strong AI and graph‑based foundation for the platform.
Key Responsibilities
- Own the end‑to‑end architecture and technical development of the Graph AI platform
- Improve and scale the private relationship graph (matching, pathfinding, performance, and privacy)
- Design and implement AI‑powered relationship scoring and recommendation systems
- Develop Graph RAG and intelligent introduction recommendations
- Build and ship core backend and infrastructure features
- Maintain and improve data pipelines (email, LinkedIn, CRM integrations, identity resolution)
- Optimize onboarding and ensure fast product aha moment
- Lead cloud infrastructure and DevOps (AWS, Docker, deployments, scaling, reliability)
- Ensure performance, scalability, and security of the system
- Make key decisions on system design, architecture, and AI implementation
- Collaborate closely with founders on product roadmap and technical strategy
- Contribute to building a strong and defensible network‑effect‑driven platform
Required Experience & Profile
- 3–8+ years of experience in software engineering, AI, or ML
- Proven experience as: AI Engineer Lead, Tech Lead, Founding Engineer, or Senior backend / AI engineer in an early‑stage startup
- Strong backend and system design experience
- Hands‑on experience building and shipping production systems
- Experience with AI/ML‑powered features and LLM‑based systems
- Experience working with Python and modern backend frameworks (e.g., FastAPI)
- Experience with cloud infrastructure (AWS) and scalable architectures
- Understanding of data pipelines and distributed systems
- Interest or experience in graph systems, recommendation systems, or AI agents
- Ability to work independently in a fast‑paced startup environment
- Strong ownership, autonomy, and product mindset
Nice to Have
- Experience with graph systems or network‑based platforms
- Experience with Graph RAG or knowledge graphs
- Background in fintech, fundraising, or marketplace platforms
- Experience with recommendation systems or ranking algorithms
- Experience with CRM, email, or LinkedIn data integrations
- Previous experience in early‑stage or founding teams
- Experience scaling products from early‑stage to growth
What We Offer
- Founding‑level role with high impact on company direction
- Full ownership of the AI and Graph platform development
- Opportunity to build a large‑scale AI‑driven network platform
- Highly autonomous and fast‑moving environment
- Fully remote setup with flexible work style
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination.
AI Engineer Tech Lead in London employer: PRAGMATIKE
Contact Detail:
PRAGMATIKE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Tech Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and fintech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and graph systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, they want to see how you think and approach problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly. Don’t hesitate – get your application in and let’s make some magic happen!
We think you need these skills to ace AI Engineer Tech Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer Tech Lead role. Highlight your hands-on experience in AI, backend systems, and any relevant projects you've worked on that showcase your technical prowess.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a perfect fit for our startup. Share specific examples of your work that demonstrate your ability to drive technical development and innovation.
Showcase Your Technical Skills: Don’t just list your skills; provide context! Mention specific technologies you've used, like Python or AWS, and describe how you've applied them in real-world scenarios. This helps us see your practical experience and problem-solving abilities.
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 us you’re proactive and keen to join our team!
How to prepare for a job interview at PRAGMATIKE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, and modern backend frameworks like FastAPI. Brush up on your knowledge of AI/ML features and be ready to discuss how you've implemented them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around scaling systems or improving performance. Use examples that highlight your hands-on experience and how you approached these problems with innovative solutions.
✨Understand the Company’s Vision
Research Pragmatike and their mission to build an AI-powered relationship intelligence platform. Be ready to share your thoughts on how you can contribute to their goals, especially in terms of enhancing the graph architecture and recommendation systems.
✨Demonstrate Your Autonomy and Ownership
Since this role requires a strong sense of ownership, prepare to discuss instances where you took initiative in your previous positions. Highlight how you’ve successfully worked independently in fast-paced environments and contributed to product development.