Senior Principal AI Solutions Engineer

The role

A hands-on technical leader will set the technical direction for the solutions portfolio and build agentic applications. You will work across the modern AI stack, including open-weight models, agent frameworks, and multimodal pipelines.

What you will do

• Build agentic and self-improving systems
• Design and build single- and multi-agent systems
• Build feedback loops including automated evals and fine-tuning
• Set up eval harnesses, tracing and guardrails
• Choose, adapt and combine open models
• Benchmark end-to-end solutions
• Build polished web applications using React/Next.js and TypeScript
• Build domain solutions for financial services, legal, healthcare, public sector and research
• Build vision-language, document-understanding, and real-time voice pipelines
• Set technical direction for the solutions portfolio and mentor engineers

Required qualifications

• Bachelor's degree or higher in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Statistics or a related field
• 8+ years (IC5) or 10+ years (IC6) of industry experience in software, ML or solutions engineering
• 3+ years building LLM-based applications that reached production
• Proven experience building agentic systems including tool and function calling, multi-agent orchestration and frameworks such as LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK or equivalent
• Hands-on experience with open-weight models: serving, prompting, fine-tuning (LoRA/PEFT) and evaluation
• Expert Python skills
• Modern front-end development (TypeScript, React/Next.js)
• Experience with APIs and cloud deployment
• Experience designing evals and benchmarks for LLM applications covering quality, latency and cost
• Excellent customer communication to lead workshops and explain architecture to executives and engineers
• Track record of technical leadership across teams

Nice to have

• Experience building self-improving or learning systems
• Experience building real-time voice agents (e.g. LiveKit, Pipecat, WebRTC) and working with speech models (ASR/TTS)
• Experience with multimodal and vision-language models and document-understanding pipelines
• Domain experience in one or more knowledge-work verticals
• Familiarity with inference frameworks (vLLM, SGLang, TensorRT-LLM) and hardware-aware performance tuning
• Experience with MCP, RAG at enterprise scale, and agent security and guardrails
• Open-source contributions, public demos or technical content in the AI community

Benefits

• Base salary plus equity
• 95% premium coverage for employee medical insurance
• 77% premium coverage for dependents
• Health Savings Account (HSA) with employer contribution
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
• Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care
• Headspace subscription
• Gympass+ membership
• One Medical membership
• Counseling services with an Employee Assistance Program

Before you apply

• You must submit an application form for each position for which you believe you are qualified

About the company

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide.