AI Agent Engineer
Build and deploy production voice AI agents for customers, creating demos, debugging edge cases, improving performance, and translating feedback into product improvements. The role combines hands-on engineering, customer engagement, and pre- and post-sales delivery.
About the job
Responsibilities
- Work directly with customers to turn a voice AI platform into production-ready agents.
- Build custom demos for prospective customers across pre-sales and post-sales.
- Understand customer workflows, systems, products, policies, call flows, and edge cases.
- Deploy agents, debug issues, improve performance, and ensure reliable real-world operation.
- Translate customer feedback into product improvements.
Requirements
- 1–3 years of relevant work experience.
- Strong problem-solving skills and enthusiasm for addressing technical challenges.
- Customer-first mindset with strong communication skills.
- Interest in product design and prioritization.
- Self-motivated and able to work independently.
- Passion for learning and keeping up with AI advancements.
Nice to Have
- Prompt engineering experience.
- Experience with AI or LLM-based platforms.
- Experience with TypeScript, React, Python, Ruby on Rails, PostgreSQL, or AWS.
Compensation and Benefits
- Salary: $120,000–$200,000 annually.
- Meaningful equity and employee-friendly equity terms.
- Health, dental, and vision insurance.
- Free lunch and dinner at the office.
- Late-night Uber rides.
- Team events and offsites.
Skills
Prompt Engineering, LLMs, TypeScript, React, Python, Ruby on Rails, Postgres, AWS
Similar jobs
ML Engineering jobsBuilds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.
Build and maintain tooling, evaluation systems, quality gates, and infrastructure for MongoDB's agent skills and AI platform. Requires 2+ years building production software, developer tools, CLIs, test infrastructure, or CI/CD, with strong fundamentals in API design, testing, and reasoning about nondeterministic AI systems.
Develop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.
Build datasets, evaluations, and scalable data systems that improve frontier AI models on challenging biological and scientific tasks. The role partners with scientists and AI labs and requires at least two years of experience applying biology and AI, plus hands-on LLM experience.
Develop and deploy responsible AI and machine learning fairness solutions across Pinterest’s large-scale, user-facing products, including generative AI, search, and recommendations. The role requires production ML experience, expertise in fairness interventions and modern architectures, and a master’s or PhD in computer science or a related field.