Agent Solutions Engineer

Eden Prescott; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Eden Prescott, a well-funded AI startup in San Francisco, seeks an engineer who can design and deploy AI-powered voice solutions for enterprise customers. You will prototype, integrate APIs and internal systems, and drive implementations from discovery through production and optimization, with a focus on real-world impact.

This customer-facing role requires clear communication with both technical and business stakeholders, ownership of end-to-end projects, collaboration with product and

Qualifications

• Must have 3–10 years in Software/Solutions/AI engineering or similar technical customer-facing roles.
• Experience building production software across the full stack and owning projects from concept to deployment.
• Hands-on experience integrating AI models, LLMs, or automation into real-world applications.
• Demonstrated ability to solve complex technical problems in fast-paced, ambiguous environments.
• Excellent communication skills with the ability to explain technical concepts to both engineering and business stakeholders.
• High ownership mentality with a bias toward action and delivering measurable customer outcomes.
• Willingness to work onsite regularly and travel to customer locations as required.

Responsibilities

• Design and deploy AI-powered voice solutions that automate complex business workflows by integrating APIs, internal systems, and external data sources.
• Rapidly prototype customer solutions, launch early versions into production, and iterate based on real-world performance.
• Work closely with engineering, product, and operations teams on both customer and internal sides to ensure successful deployments.
• Own projects end-to-end—from technical discovery and architecture through implementation, testing, deployment, and optimization.
• Drive customer adoption by training stakeholders, identifying additional automation opportunities, and expanding platform usage over time.
• Build trusted relationships with customers by acting as a technical advisor and strategic partner throughout the engagement.
• Travel to customer sites when needed to accelerate deployments, strengthen relationships, and ensure successful outcomes.

Skills

AI/LLM integration

Customer-facing

End-to-end ownership

Communication skills

Job description

We're partnering with a well-funded, high-growth AI startup building voice automation technology that's transforming how enterprises interact with customers. Backed by top-tier investors and trusted by leading global organizations, the company develops AI voice agents that automate complex, business-critical phone conversations at scale.

This is an opportunity to join a team at the forefront of applied AI, working on technology that's already deployed in production across some of the world's most recognizable brands.

Why This Role Exists

Every customer has different workflows, systems, and goals. Success isn't about deploying the same solution repeatedly—it's about understanding each business, identifying opportunities for automation, and building AI agents that solve meaningful operational problems.

We're looking for an engineer who enjoys operating in ambiguity, partnering directly with customers, and taking ideas from whiteboard to production.

What You'll Do

• Design and deploy AI-powered voice solutions that automate complex business workflows by integrating APIs, internal systems, and external data sources.
• Rapidly prototype customer solutions, launch early versions into production, and continuously iterate based on real-world performance.
• Work closely with engineering, product, and operations teams on both the customer and internal side to ensure successful deployments.
• Own projects end-to-end—from technical discovery and architecture through implementation, testing, deployment, and optimization.
• Drive customer adoption by training stakeholders, identifying additional automation opportunities, and expanding platform usage over time.
• Build trusted relationships with customers by acting as a technical advisor and strategic partner throughout the engagement.
• Travel to customer sites when needed to accelerate deployments, strengthen relationships, and ensure successful outcomes.

Must-Have Qualifications

• 3–10 years of experience in Software Engineering, Solutions Engineering, AI Engineering, or similar technical customer-facing roles.
• Experience building production software across the full stack and owning projects from concept through deployment.
• Hands-on experience integrating AI models, LLMs, or automation capabilities into real-world applications.
• Demonstrated ability to solve complex technical problems in fast-paced, ambiguous environments.
• Excellent communication skills with the ability to explain technical concepts to both engineering and business stakeholders.
• High ownership mentality with a bias toward action, execution, and delivering measurable customer outcomes.
• Willingness to work onsite regularly and travel to customer locations as required.

Nice-to-Haves

• Experience building or deploying AI agents, conversational AI, or LLM-powered applications.
• Previous startup or founder experience.
• Familiarity with agent orchestration, AI workflows, or automation platforms.
• Experience working directly with enterprise customers to scope, build, and deploy technical solutions.
• Personal projects, open-source contributions, or side projects demonstrating technical curiosity and initiative.