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Senior Principal AI Solutions Engineer

SambaNova Systems

San Jose · USD 234,000-286,000 · 3+ years experience · Full-time · Posted Sep 29, 2026

At a glance

Experience
3+ years experience
Employment
Full-time
Location
San Jose
Salary
USD 234,000-286,000 · Base salary

About the role

  • SambaNova is looking for a Senior Principal AI Solutions Engineer who acts as a hands-on technical leader to set the technical direction for the solutions portfolio while still building.
  • This role involves going from a customer problem to a polished, working, agentic application in days and then hardening it for production across the modern AI stack.
  • You will lead hands-on engagements with strategic customers, mentor the wider solutions team, and feed what you learn back into the platform.

Responsibilities

  • Design and build single- and multi-agent systems with planning, tool and function calling, MCP, memory, and long-running workflows that are reliable enough for production.
  • Build feedback loops that make agents better over time, including automated evals, LLM-as-judge, trace-driven prompt and program optimization, synthetic data generation, and fine-tuning from production signals.
  • Set up eval harnesses, tracing and guardrails so customers can measure quality, cost and latency.
  • Choose, adapt and combine open models for customer use cases, including LoRA/PEFT fine-tuning, distillation and model routing.
  • Benchmark end-to-end solutions and show where fast inference changes what an application can do.
  • Validate new models and capabilities on SambaNova's platform stack and report gaps to Product and Engineering.
  • Build polished, usable web applications that non-technical knowledge workers can adopt.
  • Build domain solutions for areas such as financial services, legal, healthcare, public sector and research.
  • Build vision-language and document-understanding pipelines combined with agentic reasoning.
  • Build real-time voice agents and audio pipelines where low latency is the product.

Requirements

  • 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, including 3+ years building LLM-based applications that reached production.
  • Proven experience building agentic systems: 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.
  • Strong full-stack skills: expert Python plus modern front-end development (TypeScript, React/Next.js), APIs and cloud deployment.
  • Experience designing evals and benchmarks for LLM applications, covering quality, latency and cost.
  • Excellent customer communication, with the ability to lead workshops and explain architecture to both executives and engineers.
  • A track record of technical leadership across teams: setting architecture direction, mentoring senior engineers and owning outcomes for strategic accounts.

Preferred qualifications

  • Experience building self-improving or learning systems: prompt/program optimization, RL from feedback, synthetic data pipelines or continual fine-tuning
  • 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 (financial services, legal, healthcare, public sector, scientific research)
  • 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
  • Full subscription to Headspace
  • Gympass+ membership with access to physical gyms
  • One Medical membership
  • Counseling services with an Employee Assistance Program

Skills

  • Python
  • TypeScript
  • React
  • Next.js
  • LangGraph
  • CrewAI
  • OpenAI Agents SDK
  • Claude Agent SDK
  • LoRA
  • PEFT
  • DSPy
  • LiveKit
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  • Pipecat
  • WebRTC
  • vLLM

SambaNova Systems

Senior Principal AI Solutions Engineer

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