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Job listing

San Francisco, United StatesNot Disclosed

AI Software Engineer at fast-growing AI startup

Join a fast-growing AI startup in San Francisco building the next generation of LLM-powered systems. As an AI Software Engineer, you will design RAG pipelines, fine-tune foundation models, and deploy scalable agentic systems. If you are passionate about pushing the boundaries of generative AI and multi-modal reasoning, this is your chance to make a massive impact at a well-funded company backed by top-tier VCs.

Overview

Role overview

As an AI Software Engineer, you will design and deploy sophisticated ML and LLM systems, focusing on text understanding and reasoning. You will build RAG pipelines and agentic systems, optimizing foundation models for domain-specific performance. This role is central to integrating cutting-edge AI services into production systems and benchmarking performance against proprietary datasets.

Company

About the company

Fast-growing generative AI startup

Responsibilities

What you will do

  • Design, train, and deploy LLM systems for text generation, summarization, and complex reasoning tasks.
  • Build and optimize retrieval-augmented generation (RAG) and agentic systems using vector databases.
  • Fine-tune models using LoRA/Q-LoRA and develop scalable evaluation pipelines using PyTorch and HuggingFace.

Candidate profile

Who this is a fit for

  • Strong foundation in deep learning and NLP with proficiency in Python and frameworks like PyTorch.
  • Hands-on experience with LLMs (GPT, Claude, Llama) and vector databases such as Pinecone or Milvus.
  • Proven ability to optimize system performance for inference speed, memory efficiency, and quantization.

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What makes it remarkable

Why this role is remarkable

  • Work at the forefront of generative AI, implementing advanced RAG and multi-modal reasoning systems.
  • Join a well-funded team backed by top-tier VCs in the heart of the AI innovation hub.
  • Significant technical ownership with the opportunity to shape the future of AI-driven product capabilities.

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