Sr. Machine Learning Engineer
On-siteAustin, Texas, United States
Austin, Texas, United StatesOn-siteFull TimeSenior LevelMasters DegreeSmall
Full TimeSenior LevelMasters DegreeSmall
Job Summary
Senior ML Engineer at Revionics (Austin area) responsible for designing, building, deploying, and evolving end-to-end AI/ML systems including agentic capabilities and A2A protocols, with initial focus on agentic and A2A roadmap; contribute across full stack from prototyping to production; collaborate with product, engineers, and data scientists to translate ideas into products; participate in the research-to-production lifecycle; opportunity to learn and implement state-of-the-art AI/ML techniques and modern engineering frameworks.
Required Qualifications
- Bachelor's/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 such as Skills, Tools, Callbacks, code execution, token caching, compaction, multi-agent orchestration
- Experience exposing agentic systems using MCP or A2A frameworks
- Experience working in cloud native environments like GCP (BQ, Cloud Run, GKE) or AWS
- Strong track record of developing and scaling AI/ML systems within software products and production systems
- Broader software development skills (backend/frontend, data engineering, APIs, system design, etc.)
- Experience building scalable agentic systems in production
- Comfort with LLM-based development platforms such as Claude or Codex
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