Forward Deployment Engineer

Responsibilities: The Forward Deployment Engineer will embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications. They will also optimize AI inference performance and troubleshoot production issues across model, software, and hardware layers.

Requirements: Candidates should have 5+ years of hands-on engineering experience with a strong record of shipping production AI/ML systems. Deep expertise in GenAI application development and strong foundations in ML fundamentals are required.

Key skills: GenAI Application Development, LLM Orchestration, RAG, Agentic Frameworks, Prompt Engineering, Evaluation Pipelines, Model Training, Fine-tuning, Inference Optimization, Performance Benchmarking, Python, C++, CUDA, Cloud Infrastructure, Containerization, Orchestration

Keywords: AI, ML, GenAI, LLM, RAG, LangChain, LlamaIndex, DSPy, Python, C++, CUDA, AWS, Azure, GCP, Kubernetes, Docker, MLOps, SN40L, SambaStack, Inference Serving, Dataflow Unit, Cloud Infrastructure, Model Ownership, Benchmarking, Performance, Troubleshooting, Technical Sales, Reference Architectures, Customer Engagement, Technical Discovery