[Hiring] Staff Engineer, AI/LLM Platform @Simulations Plus

Role Description

The Staff Engineer, AI/LLM Platform will be the senior applied engineer on the AI side of a small department whose charter spans both web/SaaS and AI/agents products. The role will help design, build, and distribute the agentic, context, and tool layers that turn decades of scientific modeling and simulation capability into agent-driven product experiences.

• Help design, build, and distribute the agentic systems that surface our scientific capability to customers.
• Build agent loops, orchestration code, and control structures that balance autonomy, cost, and latency.
• Make day-to-day decisions on prompts, tools, structured outputs, and provider tradeoffs across Anthropic, OpenAI, and others.
• Build and operate MCP servers that expose our core scientific engines and product capabilities to agentic clients.
• Design and maintain the context-management layer that feeds agents the right information at the right time.
• Stand up vector stores, knowledge bases, and retrieval patterns that power both agent reasoning and customer-facing workflows.
• Build the evals, traces, and feedback loops needed to debug and improve a non-deterministic system.
• Contribute to the architectural patterns and technical standards the team builds on.
• Mentor engineers contributing to AI features and raise the floor on applied-AI practice across the team.

Qualifications

• 5+ years of professional software engineering experience, with recent production work on agents, LLM-integrated features, or MCP and tool servers.
• Strong Node.js and TypeScript background; comfort designing service-layer code and tool integrations.
• Working knowledge of agent orchestration, prompt and tool design, and context-management patterns (RAG, vector search, memory).
• Hands-on experience with at least one major LLM provider SDK (Anthropic, OpenAI, or comparable).
• Pragmatic, applied mindset — this is an engineering role, not a research or data-science role.
• Fluency using AI coding tools (Claude, Cursor, Copilot) in daily workflow, and comfort working across languages by leveraging them.

Requirements

• Python proficiency for prototyping, evals, or interfacing with ML tooling.
• Experience with agent frameworks such as LangGraph, Mastra, Pydantic AI, or LlamaIndex — with the judgment to know when not to use them.
• Familiarity with vector databases and RAG patterns (Pinecone, pgvector, MongoDB Atlas Vector Search, or comparable).
• Experience in regulated-software environments (SOC 2, HIPAA, GxP, 21 CFR Part 11) or life-sciences SaaS.
• Open-source contributions to MCP servers, agent frameworks, or LLM tooling.

Education

• Bachelor's degree in computer science, engineering, or related field preferred.
• Master’s degree in computer science, engineering or related field a plus.
• Relevant technical certifications welcomed.

Benefits

• Fully remote work.
• Flexible schedules.
• Generous vacation policy.
• Affordable health coverage.
• Annual bonus.