Senior Full Stack Engineer (AI-Native) - Contract Role
About the Role
We’re looking for a Senior Full Stack Engineer who is highly trained in AI — someone who can prototype fast, ship experiments, and scale winning ideas into production-grade systems.
This is not a typical engineering role.
You will operate like a technical co-founder, working directly with Vishen and the Innovation Team to build new AI-powered features, products, and experiments that shape the future of Mindvalley.
You should be equally comfortable writing quick prototypes, hacking together AI workflows, and later designing scalable architectures once the concept has traction.
If you thrive in ambiguity, love shipping fast, and have strong instincts for what makes AI products actually work — this is your role.
Key Responsibilities
AI Product Engineering
Build AI-powered features end-to-end: prototypes → MVPs → scalable systems.
Implement and fine-tune models (OpenAI, Anthropic, Llama, embeddings, vector DBs).
Develop agents, pipelines, prompt-based logic, and automated workflows.
Evaluate AI model performance, accuracy, latency, and cost efficiency.
Rapid Prototyping & Experiments
Work directly with Vishen + Innovation team to turn ideas into live experiments within days.
Build fast, modular prototypes to validate hypotheses.
Use modern rapid-build platforms (e.g., Lovable, Replit, Bolt, etc.) to accelerate prototyping and ship working demos quickly.
Translate early user feedback and data into refined architectures.
Full Stack Engineering
Design and implement modern web applications using React/Next.js or similar frameworks.
Build scalable APIs, services, and backend systems (Node.js, Python, Go, or similar).
Architect solutions that can move from prototype → production without heavy rewrites.
Own both deployment and performance optimization.
Technical Leadership
Influence engineering direction across the innovation team.
Establish AI development best practices, reusable patterns, and internal tooling.
Collaborate closely with product, design, data, and content teams.
Requirements
5+ years full-stack engineering experience, ideally in high-velocity product teams/startups.
Strong hands-on AI engineering background, including:
LLMs (OpenAI, Anthropic, Llama, etc.)
Vector databases (Pinecone, Weaviate, Chroma)
Retrieval-augmented generation (RAG)
Prompt engineering + evaluation
Building internal agents/tools
Proven ability to move between rapid prototyping and scalable architecture.
Strong ownership mindset — you think like a builder, not a “ticket taker.”
Experience deploying cloud-native applications (AWS/GCP).
Expertise in JavaScript/TypeScript + React + Node.js (or Python-based frameworks).
Nice to Have
Experience with multimodal AI (vision, speech, embeddings).
Familiarity with workflow automation tools (Make, Airflow, Temporal).
Hands-on experience prototyping using platforms like Lovable, Replit, Bolt, Cursor, or similar AI-native dev tools.
Knowledge of CI/CD, Docker, Kubernetes.
Experience in high-growth startups, labs, or innovation teams.
Who You Are
You love AI — you experiment, build, and stay ahead of the curve.
You can turn a concept into a working prototype within days.
You’re energized by fast cycles, ambiguity, and experimentation.
You think like a co-founder: you challenge assumptions, propose solutions, and drive outcomes.
You balance speed with systems thinking — knowing when a hack is fine and when it’s time to scale.
Mindvalley is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, gender identity or expression, national origin, age, disability, marital status, sexual orientation, or any other legally protected status. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals.