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Senior Machine Learning Engineer

Cresta· Engineering
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Remote$205k - $270kFull-timePosted 3mo ago

About the role

Senior ML Engineer role at Cresta focusing on building next-generation AI Agents, agentic assist systems, and enterprise-grade ML capabilities across agentic/LLM workflows, evaluation, and retrieval-augmented generation pipelines. Remote (United States).

Responsibilities

  • Lead the design and development of Cresta’s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.
  • Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.
  • Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.
  • Improve reasoning, planning, and tool-use capabilities in real-world AI applications.
  • Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.
  • Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.
  • Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.
  • Optimize AI systems for scalability, latency, security, and cost efficiency in production environments.
  • Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta’s platform.
  • Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s AI systems.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred.
  • 5–8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.
  • Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
  • Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.
  • Experience building and evaluating complex agentic or multi-step LLM workflows.
  • Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.
  • Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.
  • Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Skills

Required:LLMs and promptingRetrieval-Augmented Generation (RAG)NLP, transformer architectures, embeddingsMulti-agent workflows

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Flexible PTO
  • Paid parental leave
  • Retirement savings plan
  • Remote work setup budget
  • Monthly wellness and communication stipend
  • In-office meal program and commuter benefits for onsite employees
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Cresta

AI Agents for Every Customer Conversation | Cresta

AI Agents for Every Customer Conversation | Cresta

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