Applied AI Engineer

About the Role:

As an Applied AI Engineer on Orvera AI’s Forward Deployed Engineering (FDE) team, you will design, build, and deploy production-grade AI agents for enterprise customers.

This is a hands-on role at the intersection of AI, software engineering, integrations, and customer delivery. You will work directly with customers to translate complex business workflows into reliable agentic systems and take them from initial design through production deployment.

The systems you build will power high-impact, high-visibility, and high-touchpoint enterprise use cases, often across highly federated environments involving multiple applications, teams, workflows, and operational constraints.

What You Will Do:

• Build and deploy production-grade AI agents for enterprise workflows
• Translate customer requirements into robust technical architectures and implementations.
• Develop agentic systems using LLMs, tool calling, APIs, business logic, and external integrations.
• Build backend services using Python, FastAPI, REST APIs, and webhooks.
• Apply strong practices in prompt engineering, context engineering, evaluation, guardrails, and observability.
• Work directly with product, operations, and leadership teams.

What We're Looking For:

• 2+ years of hands-on technical experience, ideally in Conversational AI, GenAI, AI agents.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong Python proficiency is required, with a high bar for clean and maintainable code.
• Experience with FastAPI or similar backend frameworks, APIs, webhooks, and integrations.
• Hands-on experience building LLM and agentic AI applications, including tool/function calling and multi-step workflows.
• High ownership, low ego, and the ability to operate effectively as an Individual Contributor.
• Strong written and verbal communication skills, including working directly with enterprise customers.

Great to Have:

• Experience with voice or conversational AI in production.
• Understanding of telephony, SIP, PSTN, CCaaS platforms, call routing, and real-time audio systems.
• Experience with cloud infrastructure, RAG, tracing, observability, or agent orchestration frameworks.
• Experience integrating with enterprise systems such as CRMs, contact-center platforms, healthcare systems.
• Experience in a customer-facing engineering, solutions engineering, or forward-deployed role.

How We Work:

We value engineers who combine technical depth, customer empathy, and a bias for shipping.

You should be comfortable moving from a customer conversation to architecture, into code, and then into production debugging when needed. We operate with high ownership, direct communication, low ego, and high standards.

If you want to build AI agents that solve meaningful enterprise problems and operate reliably at scale, we’d love to hear from you.