Related skills
react go typescript prompt engineering llmπ Description
- You\'ll architect and deliver production-ready conversational AI agents fueling growth.
- Live, scalable agentic AI systems across sectors like finance, health, and commerce.
- Own the entire AI agent lifecycle from pilot to launch and refinement.
- Collaborate with decision-makers at leading enterprises on agentic AI.
- The field patterns will feed into the platform, tools, and product roadmap.
- Develop agentic systems for large-scale companies that outperform operators.
π― Requirements
- Hands-on experience building and operating end-to-end production systems at scale.
- Builder mindset with high personal agency; you ship solutions.
- Startup founder or early engineer experience valued; you balance speed and quality.
- Proven technical problem-solving in rapidly shifting, loosely defined environments.
- Experience developing or operating AI/LLM-powered systems in production is a plus.
- Knowledge of AI agent toolkit: evaluation frameworks, orchestration, RAG pipelines, prompts.
π Benefits
- Build AI agents that run in production at meaningful scale.
- Work with leaders at global enterprises and high-growth startups.
- Influence the direction of NiCE\'s AI agent platform through real problems you solve.
- Operate with autonomy and end-to-end ownership across the lifecycle.
- Work at the cutting edge of AI agent development with latest models, infrastructure, and research.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!