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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 employer: PRAGMATIKE
Contact Detail:
PRAGMATIKE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Tech Lead
✨Tip Number 1
Network like a pro! Reach out to people in the AI and fintech space, especially those who might know about the startup scene. Use LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job.
✨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, it shows you’re genuinely interested in the role and the company. Don’t hesitate—get your application in ASAP!
We think you need these skills to ace AI Engineer Tech Lead
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 development, and any relevant projects that showcase your ability to build scalable systems.
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 technical prowess and product mindset.
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical skills, especially in Python, cloud infrastructure, and AI/ML features. We want to see how you've applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to shape our AI platform!
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 AI, ML, and backend frameworks like FastAPI. Brush up on your experience with cloud infrastructure, particularly AWS, as you'll need to demonstrate your hands-on skills in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly in scaling systems or developing AI-driven features. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research Pragmatike and the startup's 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 improving recommendation systems and enhancing the relationship graph.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges with the Graph AI platform or how they envision the future of their technology roadmap. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.