TL;DR

Lead Software Engineer (Generative AI): Designing, developing, and deploying generative AI and applied AI solutions with an accent on leveraging LLMs for code generation, content creation, and intelligent search. Focus on evaluating new models, tools, and platforms, and partnering with cross-functional teams to integrate AI solutions into %hirify_global% products.

Location: Remote

Company

%hirify_global% is building a new, dynamic team dedicated to exploring, developing, and integrating generative AI and applied AI technologies across its products and operations.

What you will do

Identify, evaluate, and implement AI-driven solutions addressing critical business challenges and unlocking new opportunities.
Bridge advanced AI research and practical application, focusing on generative models, LLMs, and applied AI techniques.
Design, develop, and deploy generative AI and applied AI prototypes as production-ready solutions, leveraging LLMs for various tasks.
Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research and techniques.
Partner with product managers, data scientists, engineers, and business stakeholders to define project scopes and ensure successful integration.
Monitor and optimize the performance of deployed AI models, ensuring scalability, reliability, and continuous improvement.

Requirements

At least 5 years of programming experience.
Strong proficiency in Python and relevant AI/ML frameworks.
Solid understanding of cloud platforms, specifically AWS, and MLOps principles.
Familiarity with core AI/ML concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Practical experience working with Large Language Models (LLMs), fine-tuning, prompt engineering, and understanding their applications.
Strong understanding of developing and delivering services on cloud platforms like AWS, including concepts around cloud security, identity and access management, data protection, and network security.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

Nice to have

Knowledge of various machine learning models, including deep learning architectures, particularly those related to natural language processing (NLP) and generative models.
Experience with %hirify_global% platform technologies, specifically Apex, Agentforce, and Data Cloud.
Prior experience in a leadership or mentorship role within an engineering development team.