Forward Deployment Engineer

Job summary

Responsibilities

Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform.

• Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio
• Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data…
• Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines.
• Troubleshoot and resolve production issues end-to-end across model, software, and hardware layers — acting as the first and last line of technical escalation in the field.
• Translate customer needs into clear product requirements and engineering feedback; serve as the primary voice of field reality to SambaNova's Product and Engineering teams.

What they're looking for

• 5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems.
• Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines.
• Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking.
• Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging.
• Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling.

Tech stack

• RAG
• LangChain
• LlamaIndex
• Python
• C++
• CUDA
• AWS
• Azure