Python AI EngineerDeweyLearn • New York, United States
Python AI Engineer
DeweyLearn • New York, United States
[job_card.variable_days_ago]
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- [job_card.full_time]
- [filters.remote]
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[job_card.job_description]You’re a curious technologist at heart. You like understanding how things work, and you enjoy exploring new tools, approaches, and ideas You have strong software engineering fundamentals and can build reliable systems that others can understand, maintain, and extend You are a good communicator and can ask the right questions, explain trade-offs in a straightforward way, and collaborate with stakeholders You enjoy collaborating with other team members You have a proven track record as a Python developer, with at least 3 years of professional software engineering experience You have experience working with ML / AI systems in a production environment. You have native / fluent proficiency in English Experience in early-stage startups is a plus Good command of the Python language Production API development experience Understanding of modern web frameworks Good understanding of “engineering basics” (version control, CI / CD, environments, debugging) Experience implementing and evaluating ML / AI solutions Experience building AI features using LLMs Familiarity with retrieval workflows (RAG) and embedding-based search Experience with PostgreSQL is a plus Experience with Natural Language Processing is a plus Familiarity with at least one front-end framework is a plus Flexible remote work arrangement (Europe and the Americas only) Collaborative, innovation-focused environment Opportunity to shape the future of education
We are DeweyLearn, Inc., an EdTech startup on a mission to revolutionize the education landscape. We’re building something extraordinary and are seeking exceptional engineers to join us on this journey. This is a unique opportunity to shape the future of education technology from the ground up.
Tasks
- Build and maintain backend services and APIs in Python
- Design and ship AI features using LLMs and modern ML techniques
- Implement retrieval workflows (RAG, embeddings, vector search)
- Take AI systems from prototype to production and iterate based on real usage
- Work closely with other engineers and stakeholders to make good technical trade-offs
- Help keep our systems clean, reliable, and easy to extend
Requirements
General :
Technical :
Benefits
Join us in building the future of education technology. If you're passionate about creating innovative solutions and want to be part of something groundbreaking, we want to hear from you.
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