Gen AI Engineer

Role Overview

At C4Scale, we are seeking passionate engineers to this role that will focus on the design, development, fine-tune and optimization of Generative AI LLM Models & applications, leveraging cutting-edge technologies to solve real-world problems. You will play a key part in building GenAI-driven products with a #YC-funded company. You will work smart engineers that are building SOTA technologies to deliver APIs/data in millisecond latencies.

Responsibilities

• Fine-tune large language models (LLMs) on code and text datasets to optimize performance for specific use cases and applications.
• Develop and deploy LLM-based and NLP applications leveraging state-of-the-art AI/ML technologies.
• Design and maintain scalable Python API backends to serve models in production environments, ensuring high performance, scalability, security, and reliability.
• Conduct experiments to improve model accuracy, efficiency, and latency through hyperparameter tuning, optimization techniques, and advanced training strategies.
• Collaborate with product teams to align AI capabilities with business goals.
• Monitor, evaluate, and fine-tune deployed models to ensure they meet KPIs and deliver an excellent user experience.
• Stay updated on advancements in AI/ML, Generative AI, and related fields to incorporate new techniques and tools into the development process.

Requirements

• Minimum of 4 years of overall experience of which a minimum of 1 or more projects involved in fine-tuning models.
• Strong experience building domain-specific LLMs with fine-tuning and deploying large language models like GPT, LLaMA, Mistral, T5, or similar.
• Proficiency in Python and experience with frameworks like PyTorch or TensorFlow for AI/ML development.
• Proficiency in Retrieval-Augmented Generation (RAG) solutions with vector databases (e.g., Pinecone, ChromaDB), frameworks like LangChain, LlamaIndex, and agentic frameworks like Langflow or Crew AI for automation tasks.
• Expertise in building and managing APIs using Python-based frameworks such as FastAPI, Flask, or Django.

Skills

• Python
• PyTorch
• TensorFlow
• LangChain
• FastAPI