Custom Python Application Development: Go well beyond “prompt engineering” by building end-to-end solutions that solve real-world client problems. This includes:
Data & Document Preprocessing: Prepare and structure client data for use with LLMs.
Evaluation Frameworks: Develop custom methods to test and validate LLM performance.
Interfaces & Integrations: Create robust interfaces to LLMs that can ingest data, feed context into models, and deliver results.
Full Solution Ownership: Walk into a client challenge and deliver a complete application—from data ingestion to LLM output—ensuring it meets business and technical needs.
Security & Compliance: Identify and mitigate potential risks such as prompt injection, data leakage, and misalignment issues.
AI-Enabled Coding: Embrace modern AI-assisted coding tools (e.g., Cursor) to maximize productivity and deliver greater value to clients.
Client Collaboration: Communicate complex AI concepts to both technical and non-technical stakeholders; create presentations tailored for audiences ranging from domain experts to Fortune 500 leaders.
Independent Execution: Collaborate in short sprints, then work autonomously to meet goals without continuous oversight.
Ongoing Experimentation & Innovation: Continuously iterate on LLM-based solutions, testing new approaches and technologies.
U.S. Residency & Authorization: Must reside in the continental United States; we do not sponsor visas.
Python Expertise: Advanced skills in Python, with evidence of production-quality code (GitHub repos or equivalent).
LLM Project Experience: Hands-on background working with large language models. Please be ready to share code samples or GitHub projects showcasing relevant work.
Data Science Mindset: While this is not a data science position, you must demonstrate the ability to decompose problems, evaluate foundations, and apply a structured, analytical approach to solving technical challenges.
Adaptability & Continuous Learning: More than a laundry list of skills, we value your proven ability to learn quickly and master new technologies.
Communication Skills: Exceptional written and verbal communication, capable of presenting complex ideas to varied audiences.
Soft Skills & Teamwork: Strong collaboration, problem-solving, and self-direction skills to thrive in a dynamic environment.
Preferred Background: Graduate or doctoral studies in physics, engineering, math, computer science, or a related discipline are a plus. Teaching/training experience is also highly valued.
Compensation: $185,000 – $215,000 (based on experience)
Benefits: Comprehensive health insurance, 401(k), and unlimited vacation.
Remote-First Team: Operate from anywhere in the continental U.S., with limited in-person client visits (a few times per year).
Autonomy & Collaboration: We move quickly to support each other, solve problems, and then execute independently—requiring strong initiative and self-management.
Innovation-Driven: We invest in new technologies and best practices, particularly in AI, to remain on the leading edge of what’s possible.