Forward Deployed Engineer, AI Agent

Forward Deployed Engineer, AI Agent at Cresta

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams.

Hiring Company: Cresta

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

Salary: $160K/yr - $250K/yr

Why Join Us:

Join Cresta and be a part of a rapidly growing enterprise AI platform, transforming how Fortune 500 companies operate their contact centers. Leverage cutting-edge AI technology, including Large Language Models, to build and deploy intelligent solutions that deliver significant business impact.

Role Responsibilities

• 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

Qualifications (Preferred)

• Hands-on experience of building AI agent systems

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

1. Apply to your first Jobright TNT role
2. We review your background to determine if you meet the TNT quality bar
3. If qualified, your application is directly recommended to the employer
4. Once accepted into TNT, you may be:
   • Invited to apply for other exclusive TNT-only roles
   • Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.

Key skills/competency

• AI Agents
• LLMs
• Prompt Engineering
• System Integration
• Python
• Golang
• Cloud Platforms (AWS, GCP, Azure)
• DevOps
• RAG (Retrieval-Augmented Generation)
• Project Management