Note: The job is a remote job and is open to candidates in USA. Dice is hiring an AI Agent Engineer to build and deploy production-grade AI, machine learning, and LLM-powered applications. The role focuses on designing agentic workflows, integrating LLMs and enterprise systems, and implementing evaluation, observability, safety, reliability, and production deployment practices.
Skills
- 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
- 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
Benefits
- Remote work arrangement
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