AI Engineer Tech Lead

Pragmatike
Remote United States Full-time 🌐 English
PR
Experience: Senior
Added to JobCollate: March 27, 2026

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This is a hands-on AI Engineer Tech Lead role focused on building and scaling an AI-powered relationship intelligence and fundraising platform. The ideal candidate will have strong experience in AI, machine learning, and graph technologies, and will play a critical role in shaping the technology roadmap for an early-stage startup.

Job Description

Location: Fully remote (EMEA timezone)Start date: ASAPLanguage: Fluent English requiredIndustry: AI / Fintech / B2B SaaS Marketplace / Graph AIAbout the CompanyPragmatike 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 RoleWe 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 ResponsibilitiesOwn the end-to-end architecture and technical development of the Graph AI platformImprove and scale the private relationship graph (matching, pathfinding, performance, and privacy)Design and implement AI-powered relationship scoring and recommendation systemsDevelop Graph RAG and intelligent introduction recommendationsBuild and ship core backend and infrastructure featuresMaintain and improve data pipelines (email, LinkedIn, CRM integrations, identity resolution)Optimize onboarding and ensure fast product aha momentLead cloud infrastructure and DevOps (AWS, Docker, deployments, scaling, reliability)Ensure performance, scalability, and security of the systemMake key decisions on system design, architecture, and AI implementationCollaborate closely with founders on product roadmap and technical strategyContribute to building a strong and defensible network-effect-driven platformRequired Experience & Profile3–8+ years of experience in software engineering, AI, or MLProven experience as:AI Engineer Lead, Tech Lead, Founding Engineer, orSenior backend / AI engineer in an early-stage startupStrong backend and system design experienceHands-on experience building and shipping production systemsExperience with AI/ML-powered features and LLM-based systemsExperience working with Python and modern backend frameworks (e.g., FastAPI)Experience with cloud infrastructure (AWS) and scalable architecturesUnderstanding of data pipelines and distributed systemsInterest or experience in graph systems, recommendation systems, or AI agentsAbility to work independently in a fast-paced startup environmentStrong ownership, autonomy, and product mindsetNice to HaveExperience with graph systems or network-based platformsExperience with Graph RAG or knowledge graphsBackground in fintech, fundraising, or marketplace platformsExperience with recommendation systems or ranking algorithmsExperience with CRM, email, or LinkedIn data integrationsPrevious experience in early-stage or founding teamsExperience scaling products from early-stage to growthWhat We OfferFounding-level role with high impact on company directionFull ownership of the AI and Graph platform developmentOpportunity to build a large-scale AI-driven network platformHighly autonomous and fast-moving environmentFully remote setup with flexible work stylePragmatike 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.Originally posted on Himalayas

Full Description

Location: Fully remote (EMEA timezone)Start date: ASAPLanguage: Fluent English requiredIndustry: AI / Fintech / B2B SaaS Marketplace / Graph AIAbout the CompanyPragmatike 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 RoleWe 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 ResponsibilitiesOwn the end-to-end architecture and technical development of the Graph AI platformImprove and scale the private relationship graph (matching, pathfinding, performance, and privacy)Design and implement AI-powered relationship scoring and recommendation systemsDevelop Graph RAG and intelligent introduction recommendationsBuild and ship core backend and infrastructure featuresMaintain and improve data pipelines (email, LinkedIn, CRM integrations, identity resolution)Optimize onboarding and ensure fast product aha momentLead cloud infrastructure and DevOps (AWS, Docker, deployments, scaling, reliability)Ensure performance, scalability, and security of the systemMake key decisions on system design, architecture, and AI implementationCollaborate closely with founders on product roadmap and technical strategyContribute to building a strong and defensible network-effect-driven platformRequired Experience & Profile3–8+ years of experience in software engineering, AI, or MLProven experience as:AI Engineer Lead, Tech Lead, Founding Engineer, orSenior backend / AI engineer in an early-stage startupStrong backend and system design experienceHands-on experience building and shipping production systemsExperience with AI/ML-powered features and LLM-based systemsExperience working with Python and modern backend frameworks (e.g., FastAPI)Experience with cloud infrastructure (AWS) and scalable architecturesUnderstanding of data pipelines and distributed systemsInterest or experience in graph systems, recommendation systems, or AI agentsAbility to work independently in a fast-paced startup environmentStrong ownership, autonomy, and product mindsetNice to HaveExperience with graph systems or network-based platformsExperience with Graph RAG or knowledge graphsBackground in fintech, fundraising, or marketplace platformsExperience with recommendation systems or ranking algorithmsExperience with CRM, email, or LinkedIn data integrationsPrevious experience in early-stage or founding teamsExperience scaling products from early-stage to growthWhat We OfferFounding-level role with high impact on company directionFull ownership of the AI and Graph platform developmentOpportunity to build a large-scale AI-driven network platformHighly autonomous and fast-moving environmentFully remote setup with flexible work stylePragmatike 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.Originally posted on Himalayas

Required Skills

AI-Engineer Tech-Lead Machine-Learning-Engineer Backend-Engineer Founding-Engineer