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Job Summary
Seeking an experienced AI Scientist/AI Architect with 8 years of experience in AI/ML, Data Science, or Software Engineering to design, build, and deploy scalable AI-powered solutions. The role focuses on Generative AI, LLM-based applications, agentic AI systems, RAG architectures, and cloud-native development on AWS. This is a hands-on position requiring strong technical leadership and collaboration with business stakeholders.
Roles & Responsibilities
Design and develop enterprise-scale AI/ML solutions and intelligent applications.
Build and implement LLM-powered applications, agent-based workflows, and RAG architectures.
Develop AI orchestration frameworks for content generation and automation use cases.
Integrate AI solutions with enterprise platforms, APIs, and backend systems.
Collaborate with business and product teams to translate requirements into AI-driven solutions.
Lead technical architecture discussions and support delivery teams.
Ensure solutions meet scalability, security, governance, and operational standards.
Required Skills
Python Backend Development
LLM & Generative AI Application Development
Agent-Based AI Systems
RAG, Vector Databases, Embeddings, and Semantic Search
API Development & System Integration
AWS Cloud-Native Development
CI/CD & DevOps Practices
Observability (Logging, Monitoring, Tracing)
Production ML Model Deployment
Experience
8 years of experience in AI/ML, Data Science, or Software Engineering.
Hands-on experience with Generative AI and LLM-enabled applications.
Experience building enterprise AI solutions and automation workflows.
Preferred Exposure To Financial/Investment Domain And Content Generation Platforms.
Location & Work Model
Irvine, CA & Los Angeles, CA
Hybrid: 2–3 days/week onsite in Irvine, 1 day/week in Downtown LA, 1 day remote.
Job Summary
Seeking an experienced AI Scientist/AI Architect with 8 years of experience in AI/ML, Data Science, or Software Engineering to design, build, and deploy scalable AI-powered solutions. The role focuses on Generative AI, LLM-based applications, agentic AI systems, RAG architectures, and cloud-native development on AWS. This is a hands-on position requiring strong technical leadership and collaboration with business stakeholders.
Roles & Responsibilities
Design and develop enterprise-scale AI/ML solutions and intelligent applications.
Build and implement LLM-powered applications, agent-based workflows, and RAG architectures.
Develop AI orchestration frameworks for content generation and automation use cases.
Integrate AI solutions with enterprise platforms, APIs, and backend systems.
Collaborate with business and product teams to translate requirements into AI-driven solutions.
Lead technical architecture discussions and support delivery teams.
Ensure solutions meet scalability, security, governance, and operational standards.
Required Skills
Python Backend Development
LLM & Generative AI Application Development
Agent-Based AI Systems
RAG, Vector Databases, Embeddings, and Semantic Search
API Development & System Integration
AWS Cloud-Native Development
CI/CD & DevOps Practices
Observability (Logging, Monitoring, Tracing)
Production ML Model Deployment
Experience
8 years of experience in AI/ML, Data Science, or Software Engineering.
Hands-on experience with Generative AI and LLM-enabled applications.
Experience building enterprise AI solutions and automation workflows.
Preferred Exposure To Financial/Investment Domain And Content Generation Platforms.
Location & Work Model
Irvine, CA & Los Angeles, CA
Hybrid: 2–3 days/week onsite in Irvine, 1 day/week in Downtown LA, 1 day remote.