Forward Deployed Engineer, AI Agent

About Cresta

Cresta is a $1.6B enterprise AI platform born out of the Stanford AI Lab, transforming how Fortune 500 companies run their contact centers.

Role Responsibilities for a Forward Deployed Engineer, AI Agent

• 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.
• Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

Qualifications

Required

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software development, AI/ML engineering, or system integration.
• 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.
• Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG).
• 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.

Preferred

• Hands-on experience of building AI agent systems.

Key skills/competency

• AI Agent Development
• Python
• Golang
• Large Language Models (LLMs)
• Prompt Engineering
• System Integration
• Cloud Platforms (AWS/GCP/Azure)
• DevOps
• Project Management
• Data-Driven Decision Making