US (Remote)
Remote
Senior
Full Time
11 days ago
💰$230,000 - $300,000
remotemachine learningLLMAIseniorstaff
Requirements
- •Bachelor’s degree in Computer Science, Mathematics, or related field; Master’s or Ph.D. strongly preferred
- •7+ years experience building and deploying machine learning systems in production including deep hands-on experience with LLMs at scale
- •Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows
- •Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines
- •Experience designing evaluation frameworks for LLM systems beyond single-turn prompts including robustness testing and production monitoring
- •Strong systems thinking for scalability, latency, cost efficiency, security, and maintainability
- •Extensive experience with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and distributed/cloud infrastructure
- •Proven ability to influence technical direction across teams as a senior individual contributor
- •Strong bias toward action with ability to prototype rapidly while maintaining production rigor
What You'll Do
- •Define and lead the technical vision for next-generation Agentic AI systems including Agentic Assist and enterprise AI Agents
- •Architect scalable, production-grade LLM systems integrating reasoning, retrieval, planning, tool use, and real-time decision-making
- •Design and evolve multi-agent orchestration frameworks combining RAG, structured knowledge, domain-adapted models, and automated actions
- •Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments
- •Own evaluation strategy for complex, non-deterministic AI systems including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and failure analysis
- •Identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns
- •Define measurable quality standards and drive continuous system improvement
- •Influence cross-team architecture decisions across ML, backend, and product engineering
- •Mentor senior engineers and contribute to long-term AI strategy and roadmap planning
- •Translate cutting-edge research advances into practical, high-impact production systems
Benefits
- •Comprehensive medical, dental, and vision coverage
- •Flexible PTO
- •Paid parental leave for all new parents
- •Retirement savings plan
- •Remote work setup budget
- •Monthly wellness and communication stipend
- •In-office meal program and commuter benefits for onsite employees
About Cresta
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
Palo Alto, CA, US
250 - 500
AI & Machine Learning