Senior Principal AI Solutions Engineer
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
Show all 15 skills
- Pipecat
- WebRTC
- vLLM