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Python Developer – LLM Post-Training (Remote | San Francisco)
Python Developer – LLM Post-Training (Remote | San Francisco)
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Python Developer – LLM Post-Training (Remote | San Francisco)

Gulfraz Ahmed's profile picture
Posted by Gulfraz Ahmed
0 - 5 yrs
$15K - $15K / yr (ESOP available)
Remote only
Skills
skill iconPython
Large Language Models (LLM)
Fine-tuning LLMs
PEFT (Parameter-Efficient Fine-Tuning)
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
skill iconDocker
Retrieval Augmented Generation (RAG)
Vector database
FastAPI
Agentic AI
Hugging Face Transformers
LoRA / QLoRA
LangChain
LangGraph
LlamaIndex
Bash

We are a San Francisco-based AI infrastructure company working with leading frontier AI labs to build post-training data and evaluation infrastructure for foundation models. We are hiring a Python Developer to create high-quality datasets, reinforcement learning environments, and benchmarking pipelines used to improve and evaluate state-of-the-art LLMs. This is a remote role with flexible working hours.


Responsibilities


* Create and curate datasets for LLM post-training (SFT, RLHF, RL, preference optimization).

* Build and maintain RL environments for agent evaluation.

* Develop Python tooling for dataset generation, validation, and transformation.

* Evaluate models on custom benchmarks and testing pipelines.

* Collaborate with research and engineering teams to deliver client-specific post-training datasets.

* Work with terminal-first development workflows and cloud infrastructure.


Required Skills


* Strong Python programming skills.

* Understanding of LLM fundamentals and post-training concepts (SFT, RLHF, RL).

* Experience working with structured data (JSON, CSV, YAML).

* Git, Linux/Unix command line, and solid software engineering fundamentals.


Good to Have


Experience with RAG, agentic AI systems, Hugging Face Transformers, LoRA/PEFT, LangChain or LlamaIndex, vector databases (FAISS, Qdrant, Milvus, Pinecone, Weaviate, ChromaDB), Docker, AWS/GCP, FastAPI/Flask, Bash, CLI tooling, model evaluation frameworks, benchmarking, and AI infrastructure.


Compensation


Base Salary: USD $1,250/month

Equity: ESOP/Equity package included.

Performance Bonuses: Up to USD $4,000/month (in addition to base salary).


Location


Remote (Worldwide)


Work Hours


Flexible, remote-first, asynchronous work environment.


How to Apply


Apply here: https://tally.so/r/wLReJG

Please complete the application form and submit the required details. Only shortlisted candidates will be contacted.

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About Parsewave

Founded :
2025
Type :
Services
Size :
0-20
Stage :
Bootstrapped

About

Custom datasets, traces, expert evaluations and more for frontier AI models. Built by seasoned professionals. Calibrated, private, and evaluation-driven.
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