Forward Deployed Engineer (AI Agent)

Position Overview

• Location Type: [Not specified]
• Job Type: [Not specified]
• Salary: [Not specified]

Cresta is dedicated to transforming customer conversations into competitive advantages by maximizing the potential of contact centers. Our platform integrates advanced AI and human intelligence, enabling contact centers to uncover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower team members to work more efficiently. Founded by Stanford AI lab alumni, Cresta boasts leadership from pioneers like Sebastian Thrun (Google X, Waymo, Udacity), Ping Wu (Google Contact Center AI, Vertex AI), and Tim Shi (OpenAI). Join us in revolutionizing the workforce with AI; the future of work is at Cresta.

About the Role

The AI Agent team at Cresta is focused on developing cutting-edge AI Agents to address practical customer challenges. We utilize the latest in Large Language Models (LLMs) and AI Agent systems, prioritizing cost-effectiveness, security, and reliability.

As a Forward Deployed Engineer, you will be instrumental in deploying AI agents for real-world problems. You will collaborate closely with customers, software engineers, and machine learning engineers to ensure high-impact AI agent deployments and contribute to the ongoing enhancement of our core AI platform. Your responsibilities will include developing intelligent AI agents, integrating them with external systems, and providing hands-on technical support for successful deployments. This role demands strong engineering skills, adaptability, and effective customer engagement. If you are self-motivated, analytical, and passionate about applying AI in practical scenarios, this opportunity is ideal for you.

Responsibilities

• AI Agent Development: Develop, configure, and deploy AI agents using Cresta’s AI platform and tools.
• System Integration: Integrate AI agents with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Performance Optimization: Optimize agent performance (e.g., fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery.
• Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of experience in software development, AI/ML engineering, or system integration.
• Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
• AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred.
• AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience building such a system is strongly preferred.
• Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Integration Expertise: Hands-on experience with integrating systems via [information incomplete].