Design, build, and enhance AI services and APIs for the developer sandbox using LLMs.
Develop well-architected, testable Python code for rapid prototyping.
Implement validation, monitoring, and observability for ML services.
Drive end-to-end lifecycle from ideation to deployment.
Collaborate with cross-functional teams to create developer-centric solutions.
Continuously optimize for performance, scalability, and usability.

🎯 Requirements

Bachelor's or Master's in CS/Engineering or equivalent.
5+ years in ML engineering or data science.
Strong Python; NLP and LLM experience.
Deploying ML services in production.
API design, networks, and developer tooling.
Databases (relational and non-relational); MLops a plus.

🎁 Benefits

Vibrant, dynamic work environment with ownership.
Stock options and generous benefits.
Flexible, trust-based culture and work-life balance.
Growth opportunities and strong collaboration.

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