> Markdown version of [/jobs/ext/3743990-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3743990-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML Engineer

- **Company:** Elista Global, LLC
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** 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, Large Language Models, Prompt Engineering, Reliability of Systems, Generative AI, Indexer, Backend, Agentic-AI, Machine Learning Operations, Api Design, Automation Anywhere
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/c913b9ec-574b-4c4b-bf87-451869492b75

## About the Role

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

## 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