Senior Forward Deployed Engineer (AI Agent)

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia.

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform.

• Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
• Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Optimize AI agent performance (e.g., fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery.
• Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.
• Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
• Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage, including architecture design, security considerations, and scalability planning.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.
• Proficiency in Python and Golang, with the ability to write clean, efficient code.
• Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred.
• Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
• Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
• Excellent communication and project management skills.
• Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
• You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.

To ensure a streamlined and objective process, the first step for qualified applicants following an initial resume review is a self-paced CoderPad technical assessment. This allows you to showcase your practical coding and problem-solving skills in a real-world environment before moving into conversational interview rounds.

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Base Salary Range: $185,000–$235,000 + Annual Bonus & Offers Equity