Why This Role Stands Out
This hybrid role offers immense growth potential as you directly build and scale cutting-edge AI solutions alongside customer teams, developing expertise in LLM applications, data engineering, and full-stack development. You'll thrive if you're a proactive, hands-on engineer eager to translate complex business challenges into production-ready applications, so apply today!
Quick Overview
Job Description
Job Description
We are seeking a highly skilled Forward Deployed Engineer (FDE) to work directly with customer teams and rapidly build, deploy, and scale AI-powered software solutions.
The ideal candidate is a hands-on software engineer with strong experience in AI/LLM applications, data engineering, and full-stack development. This role requires someone who can work in fast-paced customer environments, understand business problems, and quickly turn requirements into production-ready applications.
Responsibilities
- Work directly with customer teams to understand business workflows and technical requirements.
- Design and build AI-powered applications and solutions using customer data.
- Develop and maintain data pipelines integrating databases, enterprise systems, APIs, and documents.
- Build LLM applications using RAG, AI agents, tool/function calling, prompt engineering, and evaluation frameworks.
- Create data models and knowledge structures to support AI applications.
- Develop full-stack applications using technologies such as TypeScript, React, Python, or similar technologies.
- Build solutions that can interact with and write back to enterprise systems.
- Conduct rapid iterations with business users and improve applications based on feedback.
- Deploy and support applications in cloud, multi-cloud, on-premises, or restricted environments.
- Collaborate with engineering and technical teams to productionize and scale solutions.
- Communicate technical solutions and decisions effectively with both technical and non-technical stakeholders.
Required Skills
- Strong software engineering experience with the ability to design, develop, debug, and deploy production applications.
- Hands-on experience building LLM and Generative AI applications.
- Experience with RAG, AI agents, tool/function calling, prompt engineering, context management, and model evaluation.
- Strong data engineering skills, including SQL, data pipelines, and data modeling.
- Experience with Python and modern software development practices.
- Full-stack development experience with TypeScript, React, or similar technologies.
- Ability to work independently in ambiguous and fast-paced customer environments.
- Strong problem-solving and communication skills.
- Ability to rapidly build and deliver working software solutions.
Preferred Skills
- Experience with PySpark or similar big data technologies.
- Knowledge of Kubernetes, Helm, and Terraform.
- Experience with AWS, Azure, or Google Cloud Platform.
- Experience deploying applications in on-premises, restricted, or air-gapped environments.
- Experience with AI coding assistants or AI-driven software development tools.
- Knowledge of ontology, knowledge graphs, or enterprise data platforms.
- Experience working with enterprise systems such as ERP, CRM, supply chain, HR, manufacturing, or e-commerce platforms.
- Additional language skills are a plus.
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