Applied AI Engineer

• Build AI applications such as enterprise copilots, search assistants, document intelligence and generation tools, workflow-automation agents, predictive models, decision‑support tools, and reusable AI components including prompt libraries and solution patterns
• Implement Retrieval-Augmented Generation (RAG) pipelines leveraging enterprise data sources such as SharePoint, data lakes, document repositories, and research systems
• Build and maintain end‑to‑end AI/ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
• Integrate LLMs into business workflows using APIs and platforms such as Azure OpenAI, OpenAI, Anthropic, and AWS Bedrock
• Develop prompt-engineering, grounding, and evaluation frameworks to improve accuracy, reliability, and alignment
• Translate business use cases across domains (e.g., medical affairs, regulatory, commercial, finance) into functional AI prototypes and production-ready applications
• Collaborate with Data Scientists to scale models into production systems and with Product Owners/SMEs to refine requirements, acceptance criteria, and success metrics
• Deploy and maintain AI solutions on cloud platforms using modern APIs and software‑engineering best practices
• Implement MLOps and LLMOps capabilities including versioning, monitoring, logging, performance tracking, observability, and workload cost optimization
• Implement guardrails and controls to prevent data leakage, hallucinations, and misuse
• Integrate AI solutions with enterprise identity and data‑security frameworks, including RBAC, Purview, and related governance tools
• Ensure all AI systems are reliable, scalable, and secure, and that they comply with data‑classification rules, privacy requirements, and AI governance policies

Must be able to pass and clear background check prior to starting.

The client Will also Require professional Work References to be completed prior to starting.

Candidates must be legally authorized to work in the United States without current or future employer sponsorship.

If you are interested, please send me your updated Word Resume, along with your direct phone number and email.

Job Type: Full-time

Pay: $140,000.00 - $165,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Application Question(s):

• Do you have hands on experience developing applied AI solutions that support real business use cases and are deployed within enterprise systems?

Education:

• Bachelor's (Preferred)

Experience:

• AI: 3 years (Required)
• Python: 3 years (Required)
• ML frameworks: 3 years (Required)
• LLM APIs: 3 years (Required)
• RAG: 2 years (Required)
• Azure OpenAI, Copilot Studio, LangChain, LlamaIndex: 1 year (Preferred)

Ability to Commute:

• San Diego, CA 92130 (Required)

Work Location: Hybrid remote in San Diego, CA 92130