5 months ago
Base Salary
$230k - $300k/yr
Responsibilities
- Define and lead the technical vision for 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 robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments.
- Own evaluation strategy, including offline benchmarking, online experimentation, LLM-as-a-judge methods, and systematic failure analysis.
- Identify and mitigate hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning failures.
- Define measurable quality standards and drive continuous improvement in accuracy, faithfulness, task completion, latency, cost efficiency, and robustness.
- Influence 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 production systems.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or a related field is required; a Master’s or Ph.D. is strongly preferred.
- 7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale.
- Demonstrated leadership architecting complex AI systems, particularly agentic or multi-step LLM workflows.
- Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation pipelines.
- Experience designing evaluation frameworks for multi-turn or complex LLM systems, including robustness testing and production monitoring.
- Strong systems thinking covering scalability, latency, cost efficiency, security, and long-term maintainability.
- Extensive experience with modern machine learning frameworks and distributed or cloud-based infrastructure.
- Ability to influence technical direction across teams as a senior individual contributor.
- Ability to prototype rapidly while maintaining production rigor.
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
- Remote work is supported, with onsite commuter benefits available
Tech Stack
PyTorchTensorFlow
Categories
About Cresta
Cresta builds a generative AI platform for contact centers, combining AI agents, real-time agent assistance, conversation intelligence, and quality/coaching tools. It sells enterprise software to customer-support and sales organizations to automate and improve conversations across voice and digital channels. Founded in 2017 and headquartered in Sunnyvale, California, the privately held company counts brands such as Alaska Airlines, Cox Communications, Intuit, United Airlines, and Marriott among its customers.