Role:

Forward Deployed Engineer (FDE)

Location:

Frisco, TX (Hybrid) Short j

D:

Experience building AI solutions using LLMs - prompt engineering, RAG, or agentic workflows. Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex). Experience developing APIs and integration components. Experience with cloud platforms (AWS/Azure/Google Cloud Platform). Job Summary Forward Deployed Engineer (FDE) build team turns the enterprise's highest-value AI opportunities into production reality, partnering with US-based FDEs to deliver solutions across lines of business. As an Engineer, AI, you will build and deliver production-grade AI agents and solutions - leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG) - that drive employee productivity, process optimization, and smarter decision-making. Working hands-on within established patterns and reference implementations, and collaborating closely with senior engineers, FDEs, and cross-functional teams, you will ensure AI-driven solutions are effectively integrated into enterprise workflows. Key Responsibilities Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations. Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems. Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability. Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions. Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact. Contribute to CI/CD workflows and engineering best practices for quality and maintainability. Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. Build and maintain key artifacts, including design notes, test scripts, and documentation. Skill Requirements Bachelor's degree in Computer Science, Engineering, or related field, plus 3+ years of related work experience; or advanced degree with 1 year; or equivalent combination of education and experience. Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows. Working knowledge of designing retrieval-augmented generation (RAG) pipelines. Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex). Experience developing APIs and integrating AI capabilities into enterprise applications. Experience working in agile development cycles to support rapid, effective delivery. Strong problem-solving skills and a drive to apply creative solutions in AI agent development. Clear communication skills for effective collaboration with FDEs and cross-functional teams.