Lead AI Engineer

This role is for Weekday's client.

Role Overview

As the Lead AI Engineer , you will be responsible for spearheading the design, development, and deployment of AI solutions. You will work with various large language models (LLMs) —both open-source and proprietary—optimizing them through fine-tuning, prompt engineering, agentic frameworks, and retrieval-augmented generation (RAG) methodologies. Additionally, you will play a key role in managing the AI engineering team, fostering innovation, and ensuring successful execution of AI-driven projects.

Requirements

Key Responsibilities

• Lead the AI engineering team in designing, developing, and deploying LLM-powered solutions .
• Work with open-source (Llama, Mistral, Falcon, etc.) and proprietary models (GPT-4, Claude, Gemini, etc.) to build state-of-the-art AI applications.
• Develop strategies for fine-tuning models on proprietary datasets to enhance performance for specific use cases.
• Architect and implement retrieval-augmented generation (RAG) systems for improved response accuracy and efficiency.
• Build and integrate agentic frameworks that allow LLMs to autonomously reason, plan, and execute multi-step tasks.
• Oversee the data pipeline, model training, and deployment workflows to ensure scalability and efficiency.
• Collaborate with cross-functional teams (product managers, data scientists, and software engineers) to align AI development with business objectives.
• Stay up to date with the latest advancements in AI research and bring innovative solutions to the company.
• Ensure best practices for model evaluation, bias mitigation, and ethical AI deployment .
• Drive the team's technical roadmap, hiring strategy, and mentorship initiatives .

Required Skills & Qualifications

Preferred Qualifications