Location: Fully remote (EMEA timezone)
Start date: ASAP
Language: Fluent English required
Industry: AI / Fintech / B2B SaaS Marketplace / Graph AI
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.
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.
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
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
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
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. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, compensation, and training. We are committed to a fair and inclusive hiring process and process personal data solely for recruitment purposes in accordance with applicable privacy laws.
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