Staff Software Engineer – AI/Agent Engineer, Care Automation

About This Opportunity

We are representing a confidential restaurant technology company in their search for a Staff Software Engineer - AI/Agent Engineer, Care Automation. Our client is building the next generation of intelligent automation for customer care operations, and this role sits at the center of that transformation.

You will design and ship AI-powered systems that help customer care teams resolve issues faster and more effectively. This means building agentic workflows, LLM integrations, and intelligent automations across enterprise care platforms. You'll work with production-grade AI systems that directly impact how thousands of support agents serve their customers every day.

Responsibilities

• Design, build, and operate AI-powered automations and agentic workflows that help customer care agents resolve issues faster and more consistently
• Build and maintain integrations between LLM-based systems and the care technology stack, including Salesforce, Amazon Connect, and iPaaS workflow automation platforms
• Prototype and iterate on agentic solutions that can take autonomous actions across care systems, with appropriate human-in-the-loop checkpoints
• Write automated tests and participate in code reviews to maintain code quality and system reliability
• Monitor AI system performance, respond to incidents, and iterate based on operational data and agent feedback
• Partner with software engineers, Salesforce developers, and operations stakeholders to translate care workflows into intelligent, automated solutions
• Leverage AI-augmented development tools to increase development velocity and code quality

What We're Looking For

Required:

• 5+ years of software engineering experience, with meaningful hands-on experience building AI/ML systems in production
• Practical experience with large language models, agentic frameworks (such as LangChain, LangGraph, or similar), and prompt engineering
• Strong backend engineering skills in Python, Java, or Go
• Experience with event-driven architectures and building integrations across enterprise systems
• Ability to evaluate trade-offs between automation accuracy, latency, and cost in production AI systems
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Preferred:

• Experience with contact center platforms such as Salesforce Service Cloud or Amazon Connect
• Experience with Workato or another iPaaS platform
• Hands-on experience with RAG architectures and vector databases
• Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda)

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and schedule an initial screening call. If there's a strong match, we'll submit your profile to our client and coordinate interviews directly. Please do not contact the client independently—all communication should flow through our recruiting team to ensure the best experience for everyone involved.

Our client follows a hybrid work model that values both in-person collaboration and individual flexibility. The role is based in the United States with regional in-office expectations.

Pay

Our client offers competitive compensation based on skills, experience, and geographic location within the United States. The package includes base salary, equity, and comprehensive benefits. Specific details will be shared during the interview process.

Get A Job.ai is an equal opportunity recruiter. We work with clients and candidates from all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.