Founding Systems Architect — Drilling & AI

Qualifications

• Deep experience with LLMs, multi-agent systems, or AI orchestration
• Strong architecture + backend engineering skills
• Experience with LangChain, AutoGen, CrewAI, RAG, vector DBs, or custom LLM frameworks
• Desire to build something that pushes scientific boundaries
• Comfort with ambiguity, rapid iteration, and founder-level problem solving
• Curiosity across physics, energy, chemistry, or advanced engineering (not required, but helpful)
• Work on problems spanning cosmology → nuclear → materials → energy → propulsion

Benefits

• High Equity
• wireless power transmission
• Founder-level autonomy and ownership
• Significant equity
• You are shaping a new R&D paradigm

Responsibilities

• deep-earth thermochemistry
• You will architect and build the multi-agent AI brain of the organization — the system that coordinates hundreds of specialized AI scientists across physics, chemistry, engineering, and materials science
• You will design and implement:
• AI multi-agent orchestration (custom LLM pipelines)
• Domain expert personas and role-based agents
• A supervisory “Chief Scientist AI”
• Knowledge memory graphs and scientific reasoning engines
• Simulation coordination frameworks
• Tools for hypothesis generation and model evolution
• API integrations (OpenAI, Anthropic, Claude, Gemini, NASA data, etc.)
• Human-in-the-loop oversight & safety systems

Full Description

📍 Remote (US preferred) • Founder-Level Role • High Equity • Multi-Decade Mission

Simic Labs is building the world’s first AI-native scientific R&D organization — a self-evolving ecosystem of 300+ AI expert agents exploring frontier domains:

• vacuum structure & early-universe physics

• dark matter & dark energy models

• nuclear fusion & chain reactions

• supercritical fluid dynamics

• thermochemical reactors & hydrogen generation

• advanced propulsion & EM-based rocketry

• rare-earth element extraction

• deep-earth thermochemistry

• superconductors & next-gen materials

• wireless power transmission

• battery chemistry

• quantum substrates for AI hardware

We are not building a “lab.”

We are building a new type of scientific civilization.

⭐ Role: Founding AI Systems Architect

You will architect and build the multi-agent AI brain of the organization — the system that coordinates hundreds of specialized AI scientists across physics, chemistry, engineering, and materials science.

You will design and implement:

• AI multi-agent orchestration (custom LLM pipelines)

• Domain expert personas and role-based agents

• A supervisory “Chief Scientist AI”

• Knowledge memory graphs and scientific reasoning engines

• Simulation coordination frameworks

• Tools for hypothesis generation and model evolution

• API integrations (OpenAI, Anthropic, Claude, Gemini, NASA data, etc.)

• Human-in-the-loop oversight & safety systems

Your work becomes the foundation of a multi-decade institution.

⭐ We are looking for:

• Deep experience with LLMs, multi-agent systems, or AI orchestration

• Strong architecture + backend engineering skills

• Experience with LangChain, AutoGen, CrewAI, RAG, vector DBs, or custom LLM frameworks

• Desire to build something that pushes scientific boundaries

• Comfort with ambiguity, rapid iteration, and founder-level problem solving

• Curiosity across physics, energy, chemistry, or advanced engineering (not required, but helpful)

⭐ Why join:

• Founder-level autonomy and ownership

• Significant equity

• You are shaping a new R&D paradigm

• Work on problems spanning cosmology → nuclear → materials → energy → propulsion

• Build the first AI-native scientific institution of the 21st century

• A chance to build something bigger than a company — a legacy

If you want to build the brain of the most ambitious AI-scientific organization on Earth → Apply.

Call me at 2817994315