Key skills
Production system developmentAI/LLM-powered systemsAI agent toolkitEvaluation frameworksOrchestration toolingRAG pipelinesPrompt engineeringReactTypeScriptGoPersonal agencyTechnical problem-solvingAmbiguity tolerancePrioritizationAlignment across teamsAILLMRAGAgentic
About this role
NiCE is a leading software company known for its innovative AI solutions and exceptional customer experiences. The Forward Deployed Engineer will architect and deliver production-ready conversational AI agents, collaborating with enterprises to tackle high-priority challenges and directly influence the evolution of the platform and product roadmap.
Responsibilities:
- Develop agentic systems (agents) for large-scale companies that measurably outperform human operators in areas like retention and churn reduction
- Build agents that handle nuanced, integrated customer interactions, across a range of CX transforming use cases
- Design reusable agent frameworks adapted to the specific demands of different industries
- Drive design partnerships around new product directions, including agent architectures, self-service features, and generative development workflows
- Push the boundaries with emerging voice models and pioneer their integration into enterprise-grade deployments
- Set the standard for how AI agents are constructed, evaluated, and improved in live production settings
Requirements:
- Hands-on experience building and operating end-to-end production systems at scale
- With a natural builder's mentality with high personal agency, you default to finding solutions and shipping them
- Proven technical problem-solving ability, particularly in rapidly shifting, loosely defined environments
- At ease working face-to-face with customers to unpack their problems and deliver practical solutions
- A clear, direct communicator who can be equally persuasive with engineers and executives
- Comfortable operating in ambiguity and making forward progress without waiting for complete clarity
- Able to balance competing priorities and drive alignment across technical and business teams
- Startup founder or early engineer experience is highly valued, you understand the tradeoffs between speed, quality, and ownership
- Experience developing or operating AI/LLM-powered systems in production is a major plus
- Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering
- Familiarity with React, TypeScript, and/or Go is an advantage
- Prior experience in customer-facing or externally-led technical roles is a plus