AI Engineer | Onsite San Diego HQ

Neurocrine Biosciences • San Diego, CA

2d • Onsite

About The Position

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. You will work closely with AI Enablement, IT, and business stakeholders to deliver secure, scalable, and high-impact AI capabilities that improve productivity and drive measurable business outcomes.

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/LangLangGraph, Flowise (or similar)
• Backend: FastAPI, Node.js
• 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 testing methodologies
• Understanding of prompt engineering and LLM behavior
• Experience integrating AI into enterprise environments
• Exposure to ServiceNow, ITSM workflows, or enterprise support systems
• Knowledge of data pipelines and knowledge management 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

Nice To Haves

• Frontend: React

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
• Collaborate with AI Enablement to standardize prompt patterns across teams
• Support the design and execution of evaluation frameworks (e.g., OpenAI Evals, DeepEval)
• Assist in building automated pipelines to test: Accuracy, Reliability, Edge-case handling
• Continuously monitor and improve model performance in production
• Partner with business stakeholders to: Support identification and development of AI use cases with business stakeholders, Translate business requirements into technical solutions with guidance, Rapidly prototype and iterate on AI solutions

Benefits

• annual bonus
• equity based long term incentive program
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level