Strong hands on design and implementation experience in Python, along with the ability to collaborate effectively with clients and take end-to-end ownership of the team and deliverables.
Fulltime : 8hrs per day
Role Overview:
Candidate should have deep technical skills and a track record of dependable, high-ownership execution. You may come from an engineering, ML, or data science background, but what sets you apart is your ability to lead entire product verticals, from design and architecture to delivery. This role is for someone who thrives in ambiguity, thinks from first principles, and can take full ownership of complex agent use cases across real-world domains. We are looking for people who can be trusted to independently run critical efforts and define the roadmap for agent products deployed in real-world environments like smart homes, engineering copilots, or creative tools.
What does day-to-day look like:
Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants
Working across functions to take ideas from concept to production
Designing and implementing key parts of the system yourself: this is a hands-on role
Collaborating directly with clients to scope, adapt, and deliver high-impact agent solutions
Acting as a dependable point of ownership for high-priority initiatives
Leading teams, including mentoring engineers and enabling high performance through clarity and trust
Bringing clarity, structure, and leadership to fast-moving, high-context work
Requirements:
7+ years in engineering, data science, or ML roles with demonstrated end-to-end ownership
Proven ability to own and deliver complex, ambiguous projects end-to-end
Clear communicator who handles complexity and cross-functional work with maturity
Strong hands-on coding skills in Python; able to lead by example
Excellent judgment and accountability, you are someone others can rely on
[Bonus] Experience working on LLM-powered products, intelligent agents, or autonomous systems