Forward Deployed Engineer

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., * 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.

• 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)., * 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.