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# Software Engineer, Agent Intelligence

- **Company:** Sage Care Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Systems Engineering, Software Engineering, Chatbots, Delivery Pipeline, Generative AI, Agentic-AI, Build Management, Low Latency, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-agent-intelligence-ca--af1027cf-d529-47a9-8052-7d4646ede8cc

## About the Role

Software Engineering, Startup, Venture Capital, Apple, Healthcare, Artificial Intelligence (AI), Software Engineering, Artificial Intelligence (AI) Agents, Systems Engineering, Technical Recruiting, * 5+ years of professional software engineering experience, including building and operating AI production systems.

 * Strong backend engineering skills and experience making architecture decisions for substantial technical projects.
 * Deep experience in at least one of these areas: production AI agents and orchestration, or ML pipelines, evaluation, and feedback systems.
 * Hands-on experience with LLM-based applications and understanding of their behavior and limitations.
 * Ability to investigate failures across multiple components and use evidence to guide improvements.
 * Interest in working across live agent systems and offline evaluation and learning pipelines.

Nice to Have

 * Experience with voice or conversational AI.
 * Experience building platforms or frameworks used by other engineers.
 * Experience with post-training, fine-tuning, or training data development.
 * Experience turning research prototypes into reliable production systems.

## Description

We're hiring a Software Engineer to develop the systems behind our AI agents and turn production conversations into measurable improvements.

The work spans two areas: building agent platform that makes patient workflows easy to develop and adapt across healthcare partners, and building evaluation and ML pipelines that help us understand failures and improve agent behavior.

You'll work closely with our engineers and researcher. We welcome depth in either area and a desire to develop the other. Your initial focus will reflect your strengths and the team's needs.

We welcome senior and staff-level engineers. Scope and responsibilities will reflect your experience.

What Youll Do

 * Design and build agent systems for increasingly complex workflows, including scheduling and medication refills.
 * Develop reusable approaches to orchestration, tool use, conversation state, and recovery that support differences across healthcare partners.
 * Build pipelines that analyze production conversations, identify recurring failures, and generate useful evaluation datasets.
 * Develop evaluations that measure agent quality and catch regressions across models, prompts, and orchestration.
 * Translate findings into production improvements and verify their impact.
 * Work with research to bring promising techniques into production, making practical tradeoffs across quality, latency, and cost.