AI Architect

About Us 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. Job Description 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 ________________________________________ 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)