Appex Innovation

AI Architect

Reposted Yesterday

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Irvine, CA, USA

In-Office

Senior level

Healthtech • Information Technology

The Role

Hands-on AI Architect to design and build production-ready LLM and agent-based AI solutions. Responsibilities include developing Python backends, retrieval-augmented (RAG) systems with vector DBs and embeddings, API and cloud-native (AWS) integrations, CI/CD, observability, and deploying ML models while guiding enterprise AI governance and workflows.

Summary Generated by Built In

We are hiring for a Job Role : AI Scientist / AI Architect (Hands-on)

Location: Irvine, CA and LA, CA (2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote)

Type: Contract-W2

You Are:

A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures. You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.

What You Need:

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
Strong Python backend development experience
Hands-on experience with LLM-enabled applications and Generative AI
Experience building agent-based / agent-oriented AI systems
Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
Experience with API development and backend system integration
AWS cloud-native development experience
Experience with CI/CD pipelines and environment management
Strong understanding of observability (logging, monitoring, tracing)
Experience deploying ML models in production environments
Exposure to enterprise AI workflows, automation, and governance models

Mandatory Areas

• AI/ML Solution Architecture

• LLM & Generative AI Development

• Agent-Based Systems

• Retrieval-Augmented Systems (RAG)

• Enterprise AI Integration

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Must Have Skills

• Skill 1 – Python & Backend Development

• Skill 2 – LLM / Generative AI Application Development

• Skill 3 – Agent-Based AI Systems

• Skill 4 – RAG / Vector DB / Embeddings

• Skill 5 – API Development & System Integration

• Skill 6 – AWS Cloud (Cloud-Native Development)

• Skill 7 – CI/CD & DevOps Practices

• Skill 8 – Observability (Logging, Monitoring, Tracing)

Skills Required

8+ years experience in AI/ML, Data Science, or Software Engineering
Python backend development experience
Hands-on experience with LLM-enabled applications and Generative AI
Experience building agent-based / agent-oriented AI systems
Expertise in retrieval-based systems (RAG), vector databases, embeddings, indexing
API development and backend system integration experience
AWS cloud-native development experience
Experience with CI/CD pipelines and environment management
Strong understanding of observability (logging, monitoring, tracing)
Experience deploying ML models in production environments
Exposure to enterprise AI workflows, automation, and governance models
AI/ML solution architecture and enterprise AI integration experience

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The Company

HQ: Princeton, NJ

47 Employees

Year Founded: 2013

What We Do

At Appex Innovations, we believe in the power of technology to transform healthcare, we believe in being nimble and in continual innovation, we believe that every customer is unique and we believe in listening to our clients. With our deep expertise in the health care domain, solid resource base, constant industry interface and the drive to be the best in the industry, we strive to provide services that re-define health care in the years to come. The secret to our success is Appex Innovations commitment to our people and our work. We thrive on teamwork, intelligence, and innovation. Our bright and energetic employees, hailing from over different parts of the world, share a passion for leading the way to improved healthcare outcomes. Together we work diligently to add value to our clients.