Forward Deployed Engineer AI Agent
Jobright.ai
Job Overview
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Job Description
About Jobright TNT
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.
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.
Salary
$160K/yr - $250K/yr
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
Preferred
- Hands-on experience of building AI agent systems
How to Join Jobright TNT
- Apply to your first Jobright TNT role
- We review your background to determine if you meet the TNT quality bar
- If qualified, your application is directly recommended to the employer
- 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 Agent Development
- Enterprise System Integration
- Prompt Engineering
- Large Language Models (LLMs)
- Cloud Platforms (AWS, GCP, Azure)
- Python & Golang
- DevOps Practices (CI/CD, Containerization)
- Retrieval-Augmented Generation (RAG)
- Project Management
- Customer Collaboration
How to Get Hired at Jobright.ai
- Research Cresta's vision: Study their enterprise AI platform, mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight AI/ML, LLM, Python, Golang, and enterprise integration experience for the Forward Deployed Engineer role.
- Showcase agent deployment: Provide tangible examples of developing, optimizing, or deploying AI agent systems and solutions.
- Prepare for technical deep-dives: Expect in-depth questions on LLMs, RAG, function calling, cloud platforms, and DevOps practices.
- Demonstrate customer focus: Emphasize communication, project management, and cross-functional collaboration skills in your responses.
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