Jobs at AI Fund

Lead technical pre-sales for enterprise customers adopting LandingAI's ADE platform: run discovery, design architectures, deliver demos and PoCs, prototype integrations in Python, and support post-sale adoption and expansion.

Design, develop, and deploy document AI and multimodal pipelines (OCR, LLM reasoning, extraction validation). Lead pre-sales technical engagements, build POCs/demos, support sales with technical value propositions, deploy solutions across cloud and enterprise VPCs, and collaborate with product and partners to drive customer adoption and roadmap feedback.

The Forward Deployed Engineer is customer-facing, responsible for deployments, debugging, configuring systems, and translating customer needs into product feedback. Requires hands-on coding in Python and SQL.

The Founding Product Director will define the product vision and strategy for IrisGo, lead app development, and act as a partner to OEMs, while fostering an open-source ecosystem for AI PCs.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

The Forward Deployed Engineer role involves collaborating with enterprise clients to identify AI opportunities, redesign workflows, and implement impactful AI solutions while also contributing to internal tools and platform development.

As an AI Engineer, you will develop new AI products, iterate with a small team, and apply various GenAI techniques to enhance educational experiences.

The Senior Software Engineer is responsible for designing, developing and maintaining AI-powered services, enhancing ML capabilities, and leading cross-functional teams in a collaborative environment to innovate and implement best practices in document intelligence.

Design, develop, and deploy AI-powered backend infrastructure and services with a focus on performance and scalability. Lead architecture decisions, innovate solutions, and mentor engineers while driving best practices in software development.

Design and build AI-powered learning experiences grounded in instructional design and learning science. Translate pedagogy into executable specifications, quality standards, assessments, feedback systems, and automated checks. Prototype with AI tools and light engineering, work directly with learners through pilots, and iterate based on observed outcomes. The role also involves authoring high-quality educational content and collaborating closely with the founding team to scale effective teaching.

Design and prototype AI-native teaching methods, build learning-outcome measurement systems, and run rigorous studies with real learners. Develop valid and reliable assessments, measure skill gain, retention, and transfer, and use evidence to guide product decisions. Collaborate with engineers and the founding team to instrument learning experiences, launch novel instructional methods, and evaluate their effectiveness in a fast-moving product environment.

Build and own LearnVector’s full-stack AI learning product, including frontend experiences, backend services, data layers, deployment infrastructure, streaming AI interactions, session memory, content pipelines, observability, testing, and CI. The role requires making foundational architecture decisions, integrating LLM APIs, operating production systems, and shipping frequent product improvements in an on-site, early-stage startup environment.

Build and operate agentic AI tutoring systems, including multi-step tutoring loops, tool use, learner memory, planning, verification, guardrails, and evaluation harnesses. Develop evidence-backed learner models and measure conversational and teaching quality using real learner data. Partner with the founding team to define product behavior, translate ambiguous questions into measurable systems, and deliver end-to-end improvements. The role requires production LLM experience, strong Python or TypeScript/Node.js skills, and independent software engineering ownership.

Build a gesture-controlled mobile game using real-time hand movement through the phone camera. Own the game loop, computer vision and recognition pipeline, UX feedback, calibration, fail-state handling, and on-device performance. Rapidly prototype and test with players while balancing model quality, latency, battery usage, and game feel. Collaborate with the AI Fund build team on feasibility, scope, and potential gesture-recognition platform expansion.

Lead Strata from inception as co-founder, defining the vision for regulatory intelligence software, engaging enterprise customers, shaping the product roadmap, providing technical leadership for trusted AI agents, and recruiting teams across go-to-market, product, engineering, and customer success. The role requires early-stage B2B SaaS experience, hands-on LLM and agentic architecture expertise, and the ability to build products emphasizing accuracy, citations, auditability, and expert review.

Build a hosted deck-as-code platform that converts prompts, structured briefs, data, charts, math, and images into editable presentations. Own the compiler, browser editor, validation and repair systems, presenter, publishing, sharing, and agent-created deck workflows. Collaborate with AI Fund and early users to define the MVP, evaluate technical risks, establish reliability standards, and iterate toward a broader AI-powered authoring platform during a 12-week onsite residency.

Design and build full-stack AI prototypes; decompose products into model, retrieval, prompting, agents, and orchestration components; integrate APIs, databases, and cloud; define evaluation loops; perform error analysis; collaborate cross-functionally; and present results to founders and partners.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

As an Engagement Manager, you will manage client relationships, lead AI consulting projects, and support business development efforts, all while enhancing enterprise AI adoption.

The Marketing, Communications & Events Lead will develop communication strategies, produce events, craft thought leadership content, and manage external relationships to promote AI Aspire's mission.