Founding Engineer (Python)

• Design, develop, and deploy AI-powered full-stack features using Python (backend, AI orchestration) and React/TypeScript (frontend).
• Build, fine-tune, and integrate large language models (LLMs) via APIs (OpenAI, Anthropic, or LangChain-style frameworks).
• Own the full ML lifecycle, from data collection and preprocessing to model training, evaluation, deployment, and monitoring.
• Develop API-first architectures (REST/GraphQL) that enable seamless integration and scalability.
• Build and maintain secure, privacy-by-design data models using PostgreSQL and cloud-native infrastructure (AWS, GCP, or Azure).
• Implement robust DevOps practices with Docker, GitHub Actions, and CI/CD pipelines.
• Collaborate directly with founders to define the technical roadmap, product strategy, and engineering culture.
• Balance speed and rigor, shipping quickly while building foundations for long-term scale.

Do you have experience in TypeScript?, * Minimum of 3 years of relevant experience as a Software Engineer or Machine Learning Engineer.

• Strong full-stack experience in Python (backend + ML) and React/TypeScript (frontend).
• Proven experience building and deploying ML models in production environments.
• Deep understanding of machine learning concepts, algorithms, and frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Experience integrating LLMs and designing AI agent systems or orchestration layers.
• Strong understanding of data modeling, security, and privacy principles.
• Skilled in DevOps tools and modern CI/CD workflows (Docker, GitHub Actions, etc.).
• Entrepreneurial mindset, thrives in chaos, works autonomously, and delivers outcomes.

Nice-to-Have Qualifications

• Prior experience in an early-stage startup or founding-engineer capacity.
• Contributions to open-source AI/ML projects.
• Experience with MLOps tools (MLflow, Kubeflow) or container orchestration (Kubernetes).
• Interest in product design, UX, and building tools founders love.

Who You Are

• You move fast, learn faster, and own outcomes.
• You care deeply about clarity, speed, and user experience.
• You're comfortable wearing multiple hats, from data pipelines to design polish.
• You want to build the next wave of AI-native products, not just use them.

Job Type: Full-time