AI/ML Engineer
Elista Global, LLC
Irvine, CA, United States
13 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Mobile Application Development
Cloud Computing
Continuous Integration
Search Technologies
Software Engineering
Systems Integration
Data Logging
Cloud Platform System
Retrieval-Augmented Generation
+10 more
Large Language Models
Prompt Engineering
Reliability of Systems
Generative AI
Indexer
Backend
Agentic-AI
Machine Learning Operations
Api Design
Automation Anywhere
Job description
We are looking for a highly skilled senior AI/ML engineer or hands-on architect with strong expertise in building scalable, production-ready AI solutions. The ideal candidate will have hands-on experience in agent-based AI systems, LLM-enabled applications, and cloud-native development, with a focus on enterprise-grade implementations., * Design and develop AI/ML pipelines and intelligent applications
- Build and implement agent-based workflows and automation systems
- Develop LLM-enabled applications including prompt engineering and structured outputs
- Implement retrieval-based systems (RAG, vector search, embeddings, indexing)
- Develop and integrate APIs with backend systems
- Deploy and manage applications in cloud environments (AWS preferred)
- Implement CI/CD pipelines and ensure system reliability
- Enable observability through logging, monitoring, and tracing
- Collaborate with cross-functional teams to deliver scalable AI solutions
Requirements
Required Skills (Must Have)
- Python backend development
- Agent-based / agent-oriented development
- API development and system integration
- LLM-enabled application development
- Retrieval-based systems (RAG, vector DB, embeddings)
- AWS cloud-native development
- CI/CD and environment management
- Observability (logging, monitoring, tracing)
Preferred Skills
- Experience with Generative AI and NLP
- Experience deploying ML models in production
- Exposure to enterprise AI workflows and automation
Domain Experience
- AI-enabled enterprise workflows
- Agent-based systems
- Retrieval-augmented applications
Experience Required
- Typically 8+ years of experience in AI/ML, Data Science, or Software Engineering
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