10 часов назад
Software Engineer (AI)
210 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI) (Python/Go, LLMs, Search): Building Astronomer’s context layer and AI-powered data products with an accent on semantic search, information retrieval, and code generation. Focus on designing intelligent systems with embeddings, vector databases, and agentic systems while scaling applied AI capabilities for data practitioners.
Location: New York City, United States; hybrid work with at least 3 days per week in the New York City office
Salary: $210,000–$250,000 annual total compensation, plus equity and comprehensive benefits.
Company
develops Astro, a DataOps platform powered by Apache Airflow, helping enterprises build and operate reliable data products, analytics, AI, and data-driven applications.
What you will do
- Design and build the foundation and applications for ’s global data context layer.
- Develop components for data modeling, semantic search, information retrieval, and code generation.
- Experiment with LLMs, embeddings, vector databases, and advanced retrieval techniques.
- Turn applied AI research into scalable product experiences with R&D and product teams.
- Solve large-scale search and information retrieval challenges across data pipelines.
- Shape technical architecture and represent through open-source contributions, talks, and publications.
Requirements
- 5–8 years of software engineering experience with Python or Go.
- Experience with, or strong interest in, LLMs, vector databases, embeddings, or other applied AI areas.
- Empathy for users and a strong interest in improving data professionals’ workflows.
- Creative, experimental mindset with the ability to validate hypotheses and iterate in ambiguous environments.
- Strong collaboration and communication skills, including explaining complex systems to technical and non-technical audiences.
- Ability to work from the New York City office at least 3 days per week.
Nice to have
- Passion for AI systems for data, developer tools, or machine learning infrastructure.
- Familiarity with Apache Airflow or other orchestration tools.
- Open-source contributions and experience with search, information retrieval, or large-scale data infrastructure.
- Experience in early-stage startups or R&D organizations.
- Experience building agentic systems on top of frontier models.
Culture & Benefits
- Work with a small, highly skilled team focused on velocity, creativity, and impact.
- Collaborate in a research-driven environment where ideas move quickly.
- Receive equity and a comprehensive benefits package.
- Work on open-source and applied AI initiatives connected to Apache Airflow and data engineering.
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