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# AI Agents Engineer

- **Company:** SAI SYSTEMS
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Systems, Program Optimization, Databases, Continuous Integration, Monitoring of Systems, Python (Programming Language), Performance Tuning, Reliability Engineering, Software Safety, Systems Integration, Workflow Management Systems, Large Language Models, Multi-Agent Systems, Prompt Engineering, Machine Learning Operations, GPT
- **Published:** August 20, 2026
- **Apply:** https://www.dice.com/job-detail/7ab29e35-fadb-4568-b0b2-649d4ed5962d

## About the Role

* Strong experience building and deploying AI/ML or LLM-powered applications in production environments.
 * Advanced proficiency in Python and experience developing scalable software systems.
 * Hands-on experience designing and implementing AI agents and agentic workflows.
 * Experience working with LLM APIs, AI APIs, and tool/function calling.
 * Experience with OpenAI technologies, ChatGPT, or comparable LLM platforms.
 * Understanding of context management, prompt engineering, workflow orchestration, and multi-step agent execution.
 * Experience integrating AI applications with enterprise APIs, databases, services, or other business systems.
 * Strong understanding of AI/ML evaluation, testing, observability, and reliability engineering.
 * Experience implementing AI safety mechanisms, guardrails, validation, and failure-handling strategies.
 * Strong problem-solving and analytical skills with the ability to work in a fast-paced, highly collaborative environment.

Preferred Qualifications

 * Experience with LLM fine-tuning, RAG, embeddings, vector databases, or model optimization.
 * Experience building multi-agent or tool-using AI systems.
 * Familiarity with agent orchestration frameworks and modern AI engineering patterns.
 * Experience with cloud platforms and deploying AI workloads at scale.
 * Knowledge of MLOps, CI/CD, model monitoring, and production observability.
 * Experience developing automated evaluation frameworks for LLMs and autonomous agents.
 * Familiarity with responsible AI, security, privacy, and enterprise AI governance.



## Related Videos

- [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Psychological Safety in Software Engineering - Jenny-Margrethe Vej & Alexandra Hou Aldershaab](https://www.wearedevelopers.com/videos/2142-psychological-safety-in-software-engineering-jenny-margrethe-vej-alexandra-hou-aldershaab)
- [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)

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- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
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