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Pacific Health Group

Senior Software Engineer, AI Prompt Engineer – GenAI Full Stack

Pacific Health Group

Senior Software Engineer & AI Prompt Engineer responsible for AI software systems at Pacific Health Group. Engaging in full-stack development with a focus on Generative AI technologies.

Posted 4/22/2026full-timeSan Diego • California • 🇺🇸 United StatesSenior💰 $82,500 - $145,500 per yearWebsite

Tech Stack

Tools & technologies
AngularAWSAzureCloudETLGoogle Cloud PlatformJavaJavaScriptMicroservicesPythonReactTypeScriptVue.js

About the role

Key responsibilities & impact
  • Design, develop, and optimize prompts, chains, and workflows for LLM-based applications.
  • Build and manage RAG pipelines, including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, and evaluation.
  • Architect and implement agentic AI systems, including multi-step reasoning, tool usage, orchestration, and multi-agent patterns.
  • Establish prompt evaluation frameworks, benchmarking processes, and continuous improvement loops for quality, latency, and cost.
  • Apply fine-tuning and domain adaptation techniques where necessary.
  • Ensure responsible AI practices, including governance, safety, and reliability in production environments.
  • Design and build scalable backend systems using Python (FastAPI or similar) and/or Java-based architectures.
  • Develop modern front-end applications using React, Angular, or Vue frameworks.
  • Build and maintain APIs, microservices, and integrations across internal and external systems.
  • Ensure system performance, scalability, observability, and reliability across the stack.
  • Contribute to architectural decisions and long-term technical roadmap development.
  • Design and manage data pipelines (ETL) to support AI workflows and model performance.
  • Implement and maintain vector databases and embedding-based retrieval systems.
  • Deploy, monitor, and optimize AI models in production environments.
  • Optimize inference performance, scalability, and cost efficiency.
  • Leverage cloud platforms (AWS, GCP, Azure) and AI services such as Vertex AI.
  • Translate business requirements into scalable architectures, technical specifications, and delivery plans.
  • Lead development efforts, including system design, code reviews, and engineering best practices.
  • Mentor team members and promote a culture of engineering excellence and AI adoption.
  • Collaborate cross-functionally with product, operations, and leadership teams to deliver impactful AI solutions.
  • Develop and implement testing strategies across application and AI layers, including unit, integration, regression, and performance testing.
  • Maintain CI/CD pipelines and ensure production readiness of all systems.
  • Monitor system performance, manage incidents, and drive continuous optimization.
  • Ensure high standards of reliability, scalability, and consistency across releases.
  • Ensure all AI systems, data pipelines, and integrations comply with HIPAA and organizational data security standards.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of experience in software engineering or full-stack development.
  • Hands-on experience with Generative AI technologies and LLMs (e.g., OpenAI, Anthropic, Gemini).
  • Strong experience with prompt engineering, RAG pipelines, and agent-based AI systems.
  • Proficiency in Python and JavaScript/TypeScript.
  • Experience with modern front-end frameworks (React, Angular, or Vue).
  • Experience with APIs, microservices architecture, and system integrations.
  • Familiarity with vector databases and embedding-based systems.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Strong foundation in data structures, algorithms, and system design.

Benefits

Comp & perks
  • Paid Time Off (PTO)
  • Paid Holidays
  • Volunteer Time Off
  • Bereavement Leave
  • Comprehensive Medical Coverage
  • Flexible Spending Accounts (FSAs) and wellness-related benefits
  • Disability Insurance
  • Employee Assistance Program (EAP)
  • 401(k) Retirement Plan
  • Role-based Stipends
  • Professional Development and Continuing Education Support
  • Employee Discounts
  • Team Events and Offsites
  • Career Growth and Advancement Opportunities

ATS Keywords

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Hard Skills & Tools
PythonJavaScriptTypeScriptReactAngularVueAPIsmicroservicesvector databasesembedding-based systems
Soft Skills
leadershipmentoringcollaborationcommunicationproblem-solvingengineering excellencecross-functional teamworkcontinuous improvementincident managementtesting strategies