AI Engineer

Trace3•Irvine, CA

1d•$121,000 - $140,000•Hybrid

About The Position

The AI Engineer is responsible for designing, building, and deploying AI-powered applications, agents, and automation solutions across the organization. This role is central to Trace3’s internal AI strategy and will focus heavily on building AI agents and copilots that directly impact productivity across executive leadership, Sales, Operations, Legal, and IT. While initial priorities focus on internal AI agents and copilots, this role will expand to support a broader range of AI use cases, including workflow automation, integrations, and scalable AI-driven solutions. This role emphasizes end-to-end engineering of AI solutions—translating business needs into production-ready systems using modern AI frameworks and cloud platforms (primarily Azure).

Requirements

Bachelor’s degree in Engineering, Computer Science, or related field (or equivalent experience) required.
Minimum 4 years of experience building AI-powered applications or systems.
Strong programming skills (Python preferred).
Experience with APIs, microservices, and system integrations.
Understanding of LLMs, prompt engineering, and RAG concepts.
Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
Experience with Azure OpenAI, Semantic Kernel, LangChain, or similar frameworks.
Experience building AI agents, copilots, or automation solutions.
Familiarity with vector databases, embeddings, and search architectures.
Experience integrating with enterprise SaaS platforms.
Understanding of security, governance, and responsible AI practices.
Strong problem-solving and analytical skills with attention to detail.
Ability to collaborate effectively within teams and communicate technical concepts clearly.
Ability to operate independently, with minimal supervision.
Comfortable managing multiple and changing priorities, and meeting deadlines in an entrepreneurial environment.
Self-motivated with a strong desire to learn and grow in technical expertise.

Responsibilities

Design and build AI-powered applications, including agents, copilots, and intelligent workflows.
Develop solutions using LLMs, RAG architectures, and orchestration frameworks.
Build reusable components and scalable AI patterns.
Design agent behavior that adapts to user‑defined preferences, rules, and governance constraints.
Integrate AI solutions with enterprise platforms (NetSuite, ServiceNow, Microsoft 365, etc.)
Develop APIs, connectors, and event-driven workflows.
Embed AI capabilities into business processes to drive automation and efficiency.
Ensure AI agents and applications comply with Trace3 governance, security, and data protection standards.
Design systems that prevent sensitive or restricted data from being exposed or misused.
Partner with AI leadership to evaluate risks, controls, and guardrails for new AI capabilities before deployment.
Balance speed of delivery with safe, responsible AI practices in an enterprise environment.
Design and refine prompts for consistency, accuracy, and reliability.
Evaluate outputs and improve performance through iteration and testing.
Implement guardrails, observability, and responsible AI practices.
Build and deploy solutions in Azure (preferred) or other cloud environments.
Ensure scalability, performance, and cost optimization.
Monitor, troubleshoot, and maintain production AI systems.
Partner with AI leadership on roadmap execution and prioritization.
Work with business stakeholders to translate requirements into solutions.
Contribute to AI standards, reusable frameworks, and best practices.