AI Engineer | Onsite San Diego HQ

About the role

We are seeking an AI Engineer to design, build, and support scalable AI-powered solutions for enterprise use cases. This role sits within the AI Engineering function and contributes to translating business needs into production-grade AI systems under guidance, with a primary focus on LLM-based solutions (e.g., ChatGPT/OpenAI) while maintaining flexibility to integrate emerging AI platforms.

Responsibilities

• Design and implement AI-powered workflows and applications with guidance from senior team members using LLMs (ChatGPT/OpenAI, and future platforms)
• Build and maintain components of agent-based systems, orchestration layers, and prompt frameworks
• Develop APIs and services to integrate AI into enterprise systems (e.g., ServiceNow, internal tools, data platforms)
• Implement RAG (Retrieval-Augmented Generation) architectures using enterprise data sources
• Contribute to building solutions that are modular, reusable, and scalable
• Contribute to the design and implementation of AI system architecture under guidance, including model selection, routing, and orchestration
• Support integration of AI capabilities into existing enterprise ecosystems
• Collaborate with security and data teams to support enforcement of: Data boundaries, Access controls, Compliance requirements
• Contribute to development and maintenance of enterprise prompt libraries and reusable frameworks
• Optimize prompts and agent flows for: Accuracy, Consistency, Cost efficiency
• Continuously monitor and improve model performance in production
• Support the design and execution of evaluation frameworks (e.g., OpenAI Evals, DeepEval)
• Aid in building automated pipelines to: Accuracy, Reliability, Edge-case handling
• Collaborate with business stakeholders to:
• Support identification and development of AI use cases with business stakeholders
• Rapidly prototype and iterate on AI solutions

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related field
• 2+ years of experience in software engineering or AI/ML engineering (flexible based on capability) or an equivalent combination of relevant training and education (6+ years)
• Hands-on experience building AI/LLM-based applications
• Programming: Python (required), JavaScript/TypeScript (preferred)
• Frameworks & Tools: LLM tooling: OpenAI APIs, LangChain/LangGraph, Flowise (or similar)
• Backend: FastAPI, Node.js
• Frontend (nice to have): React
• Data & AI: Pandas, NumPy, basic ML concepts
• Experience with RAG pipelines and vector databases
• DevOps & Engineering: Git/GitHub, API design and integration, Containerization (Docker preferred)
• Experience building AI agents, chatflows, or automation workflows
• Familiarity with evaluation frameworks and sing methodologies
• Understanding of prompt engineering and LLM behavior
• Experience integrating AI into enterprise environments
• Exposure to ServiceNow, ITSM workflows, or enterprise support systems
• Familiarity with AI governance, security, and compliance considerations
• Experience working in Agile/Scrum environments
• Strong problem-solving and systems thinking
• Ability to translate moderately defined business problems into technical solutions with guidance
• Effective communication with both technical and non-technical stakeholders
• Proactive, adaptable, and able to operate in a fast-evolving AI landscape

Pay

The annual base salary we reasonably expect to pay is $81,000.00-$111,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program.

Benefits

• Retirement savings plan (with company match)
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans