Founding AI Engineer – Synthetic Data & Digital Twins (Builder Role with Skin in the Game | Delhi NCR Preferred | Hybrid) About Acutus AI At Acutus AI, we’re building the next frontier of behavioural simulation. We help businesses understand how customers think, decide, and act before they do using lifelike synthetic data, digital twins, and AI-generated users-in-context. Our proprietary platform combines Generative AI, Micro-Contextual Profiling (MCP), and Domain-Specific Languages (DSL) to simulate human decision-making across channels, emotions, and moments. This isn’t just about code, it’s about building company-defining technology. Role Overview We’re looking for a Founding AI Engineer to lead the technical execution of our synthetic data engine and digital twin modules. You’ll work closely with the founder to build the product from the ground up, translating product hypotheses into working AI systems. This role is hands-on, technical, and demands startup hustle. You should be ready to roll up your sleeves, navigate ambiguity, and own both the product and the platform vision. What You’ll Do Own the AI Vision & Roadmap Define the architecture for our synthetic data engine: training, validation, simulation pipelines Translate product hypotheses into generative models and simulation logic Co-design our MCP architecture and DSL grammar for scalable users-in-context simulation Build AI/ML Systems Hands-On Develop GANs/VAEs/Diffusion models for behavioural and structured data generation Build scalable workflows for persona simulation and edge-case generation Lead model validation to ensure fairness, diversity, fidelity, and compliance Team Building & Technical Leadership Mentor junior AI engineers, set coding and experimentation standards Collaborate with product and engineering teams to deploy AI features Drive technical hiring as we scale the team Work Cross-Functionally Partner with product teams to design experiments on Gen Z behaviour, OTT, e-commerce and more Ensure all AI development aligns with our privacy-first, modular platform vision You Should Have Must-Have: 4–6 years of AI/ML experience, especially in Generative Models (GANs, VAEs, Diffusion, Transformers) Strong Python & PyTorch/TensorFlow expertise Experience building platforms around synthetic data, simulations, or behaviour modelling Exposure to privacy-preserving AI, fairness, and model validation Startup experience or a 0→1 product builder mindset Great-to-Have: MCP, DSL, or agent-based modelling experience Digital twin experience across industries (retail, fintech, media, research) What You’ll Get Compensation: Strictly Cash + Equity structure Salary will scale with company growth and milestone achievements ESOPs that grow as the company scales Skin in the Game: Foundational role — your decisions shape the platform ESOP buyback aligned to liquidity or strategic milestones (3–5 years horizon) Clear growth track to Head of AI or Chief Product Officer, based on ownership & impact Other Perks: Work directly with the founder & leadership team Visibility in investor conversations and proprietary IP development Opportunity to present research or product work at global conferences Why Acutus, Why Now? This isn’t a cushy role with pre-written playbooks. At Acutus AI, we are: Experiment-First: Full freedom to test wild ideas & iterate fast Problem-Solvers, Not Process-Followers: If it makes sense, we build it Building Original IP: Simulation engines, MCPs, DSLs — not prompt wrapping Early Enough to Matter, Late Enough to Ship: We have a working engine and early pilots — your work turns into real product We need builders, not spectators. If you thrive in ambiguity, love shaping new categories, and want your work to turn into platform-scale IP — this is your moment. How to Apply Send your CV, GitHub/publications, and a short note on how you’ve built or contributed to AI engines or generative systems to hr@acutusai.com