Senior AI/ML Engineer
Dallas, Texas, United States
USD 107K-179K (estimate) Senior-level Full Time
Tasks
- Communicate and escalate technical risks to engagement managers
- Define API patterns logging monitoring testing and documentation
- Define nonfunctional requirements security latency availability
- Define target state architecture on Vertex AI
- Design grounding data access and evaluation approach
- Design intake triage analysis recommendations approvals workflows
- Elicit and document business requirements
- Engineer distributed consistency concurrency controls and race condition handling
- Establish code review practices and engineering standards
- Identify automation opportunities
- Implement model strategy for Gemini and Claude
- Implement sagas and outbox patterns for distributed transactions
- Integrate feature flags and enable experimentation
- Lead GenAI copilot architecture and solution design
- Run A B tests and analyze outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Pipelines | API Design | Agent patterns | B testing | Claude | Code review | Concurrency Control | Distributed Systems | Feature Flags | Gemini | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Guardrails | Java | LLM safety | Language Models | Large Language Models | Logging | Machine Learning | Model Evaluation | Monitoring | Outbox Pattern | Prompt engineering | Python | Race conditions | SQL | Sagas | Security Architecture | Testing | Vertex AI | Vertex AI pipelines
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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