About this Role
A mission-driven organization is seeking an AI Tech Lead to join its growing team.
This is a hands-on leadership role where you'll help shape a cutting-edge AI platform designed to drive real-world behavior change and improve human performance and wellbeing.
As part of a product-focused team of senior engineers, you'll operate in a low-ego, high-collaboration culture that values innovation and progress.
The platform's first focus is on employee wellbeing in high-stress industries—and the mission is just getting started.
Main Responsibilities:
* Lead and mentor a senior engineering team working across backend, machine learning, and infrastructure.
* Contribute to key design, development, and deployment decisions for AI applications using large language models, agentic frameworks, and other related technologies.
* Orient technical direction for core systems, focusing on scalability, performance, and reliability.
* Write clean, maintainable code and actively contribute to the codebase.
* Define and uphold engineering best practices (code quality, CI/CD, observability, etc.).
* Closely collaborate with the CTO and product team to align technical delivery with strategic goals.
* Continuously improve team operations, development workflows, and developer experience.
* Play a key role in hiring and onboarding as the team grows.
Requirements:
* 7+ years of commercial software engineering experience with a strong backend focus.
* Proven ability to lead engineering projects and/or teams.
* Experience with LangGraph, and a good understanding of agentic patterns (e.g. self-reflection, prompt/response optimization, multi-modal guardrails, cross-reflection, role-based cooperation).
* Hands-on experience in launching GenAI products, including agentic systems and multi-agent frameworks, driving real-world AI applications from concept to deployment.
* Experience in fast-paced or startup environments.
* BSc in Computer Science, Data Science, or related technical discipline.
* Strong communication skills and a bias toward action.
Technologies We Work With:
Some or most of the following technologies are used:
* Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools)
* AI: AgenticFlows, GenAI, LLMs, and multimodal systems
* Architecture: Microservices, RESTful APIs, async programming
* Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred)
* Datastores: MongoDB, Redis
* Monitoring/Tooling: Prometheus, Grafana, Sentry
The role offers remote work with occasional travel.
Are you excited about applying your engineering skills to something meaningful?