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Role: AI Scientist / AI Architect
Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)
Job Type: Contract
Description
Mandatory Areas:
Python & Backend Development
LLM / Generative AI Application Development
Agent-Based AI Systems
RAG / Vector DB / Embeddings
API Development & System Integration
AWS Cloud (Cloud-Native Development)
CI/CD & DevOps Practices
Observability (Logging, Monitoring, Tracing)
Responsibilities
AI-enabled enterprise workflows
Marketing / Content generation platforms (nice to have)
Financial / Investment domain (preferred based on content use cases)
Certifications
Not mandatory (AWS / ML / AI certifications are good to have)
Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)
Job Type: Contract
Description
- 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.
Mandatory Areas:
- AI/ML Solution Architecture
- LLM & Generative AI Development
- Agent-Based Systems
- Retrieval-Augmented Systems (RAG)
- Enterprise AI Integration
- AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD
Python & Backend Development
LLM / Generative AI Application Development
Agent-Based AI Systems
RAG / Vector DB / Embeddings
API Development & System Integration
AWS Cloud (Cloud-Native Development)
CI/CD & DevOps Practices
Observability (Logging, Monitoring, Tracing)
Responsibilities
- Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
- Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
- Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
- Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
- Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
- Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards.
- 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.
AI-enabled enterprise workflows
Marketing / Content generation platforms (nice to have)
Financial / Investment domain (preferred based on content use cases)
Certifications
Not mandatory (AWS / ML / AI certifications are good to have)
Key Skills
Ranked by relevance
ai
cloud
python
devops
cicd
aws
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- Posted
- Jun 19, 2026
- Type
- Contract
- Level
- Not Applicable
- Location
- Irvine
- Company
- Saransh Inc
Industries
IT Services
IT Consulting
Categories
Design
Art/Creative
Information Technology
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