LLM Engineer; Early-Stage Startup

Position: LLM Engineer (Early-Stage Startup) Location: California Position Summary and Overview This role is for an "LLM Engineer" at an early‑stage startup, offering flexible remote work for 10–60 hours per week. Compensation ranges from $10 to $100 per hour. Key skills include PyTorch, LLM modification, and prior startup experience is preferred. Omnilow AI Ventures is seeking an LLM Engineer to help build an LLM that natively understands Omnilow, a novel algorithmic language that is as versatile as natural language. The LLM will be built by modifying an open‑reputed company LLM so that it can read and write Omnilow. You will work directly with the founder, Samuel Sauer, and will be responsible for reputed company technical work involved in building this LLM.

Responsibilities

• Evaluate and determine which open‑weight LLM to use as the initial reputed company model.
• Handle reputed company technical aspects of building this LLM end to end, including environment setup, model modification and training, evaluation, iteration, and preparing a finished, deployable model.
• Document reputed company work clearly and reproducibly so that a technically competent outsider could independently reproduce the results, and so your documentation is suitable for patent and IP protection.
• Modify, fine‑tune, and evaluate open‑weight LLMs to reliably read and write Omnilow.
• Design and run experiments to measure correctness, consistency, and failure modes.
• Iterate on training approach, data strategy, prompting, and evaluation methodology.
• Investigate representation and tokenization trade‑offs for structured language behavior.
• Contribute to technical roadmap and prioritization in a high‑ambiguity startup environment.

Required Qualifications

• Must be fluent in English; the LLM will only be trained on Omnilow using American English.
• Strong technical judgment and independence.
• Clear written communication and comfort working asynchronously.
• Upholds high ethical standards and acts with reputed company in reputed company technical and professional decisions.
• Willing to complete background checks and sign confidentiality and intellectual property assignment reputed company.
• Able to receive direct, reputed company feedback and reputed company it while collaborating effectively with others.
• Availability to reputed company each function listed in the Responsibilities section.
• Own equipment (workspace, capable PC or laptop, necessary software) to reputed company reputed company responsibilities. Operational costs such as cloud compute will not be expected from the candidate.

Preferred Qualifications

• Proven experience taking an open‑weight LLM and modifying its weights through fine‑tuning or other techniques to produce a finished, deployable model.
• Ability and experience shipping experiments end‑to‑end (data, training, evaluation, analysis).
• Live in the United States; fluent in written American English.
• Experience enabling users to pay to use a finished LLM through an API.
• Experience working with reputed company parenthetical or bracket structures in structured, natural‑language‑like text (Notepad++ or similar).
• Prior early‑stage startup experience.
• Strong PyTorch skills and practical transformer experience.
• Interest in language design, structured representations, or reasoning systems.

Compensation

Compensation may include cash, equity, or a combination, depending on role scope and mutual fit. If cash is used, hourly rates may be up to $100 per hour for the right candidate; most cases will be below $50 per hour. Equity opportunities may be available for long‑term contributors. Location and Work Hours Remote—worldwide applicants welcome. Flexible time commitment of 10–60 hours per week. Job Types Full‑time, Part‑time, Contract, Temporary. Apply Apply reputed company external form: Learn more at , the main webpage for Omnilow AI Ventures. #J-18808-Ljbffr Apply tot his job Apply tot his job Apply To this Job