Sr. Machine Learning Engineer

Revionics, an Aptos company, is seeking a Senior Machine Learning Engineer to join its Science team in the Austin area. The role focuses on designing, building, and deploying end-to-end AI/ML systems, with an initial emphasis on agentic capabilities and the agent-to-agent (A2A) roadmap. You will work alongside data scientists and engineers to bring pricing, forecasting, and optimization solutions from research to production.

• Build out new features on the Science roadmap, including agentic AI, A2A communication protocols, predictive and decision-making AI, and modernization of legacy features.
• Work on full stack technology, from prototyping to production-ready software.
• Collaborate with product managers, engineers, and data scientists to turn ideas into new products, services, and features.

• Bachelor's or Master's degree in a STEM field such as computer science.
• Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain.
• Proficiency with agentic development concepts including Skills, Tools, Callbacks, code execution, token caching, compaction, and multi-agent orchestration.
• Experience exposing agentic systems using MCP or A2A frameworks.
• Experience working in cloud-native environments like GCP (BigQuery, Cloud Run, GKE) or AWS.
• Strong track record of developing and scaling AI/ML systems in production.