AI Engineer

About Logik.io

Are you driven to innovate? Are you energized by the excitement of building a high-growth startup with winning technology and proven product-market fit? Are you looking to join a team of A-players who keep customers first and take their work – but not themselves – seriously? 

Logik.io was founded in 2021 by the “godfathers of CPQ” – our CEO Christopher Shutts and our Executive Chairman Godard Abel, who together co-founded BigMachines, the first-ever CPQ technology vendor, in the early 2000s. Today, we’re reimagining what CPQ can and should be with our composable, AI-enabled platform that provides advanced configuration, transaction management, guided selling, and more. 

We’re a well-funded and fast-growing startup disrupting the CPQ space, with founders that created the category and a platform that’s pushing boundaries in configure-price-quote and complex commerce. 

We make the rules in CPQ, now come join Logik.io and rewrite the rules of your career. 

This is an exceptional opportunity for someone who has just completed their degree and is eager to apply their academic knowledge to real-world problems. As an AI Engineer at Logik.io, you will work alongside experienced engineers and data scientists, providing a collaborative environment where you can grow, learn, and contribute to high-impact AI projects. You’ll gain hands-on experience with state-of-the-art tools, technologies, and methodologies, accelerating your career while working on the forefront of innovation in AI and machine learning.

Key Responsibilities:

• Design and develop machine learning models and generative AI models, focusing on large language models (LLMs), neural networks, and decision trees.
• Develop and maintain data pipelines for data ingestion, transformation, and processing, enabling efficient model training and inference.
• Implement and monitor performance metrics, logging, and monitoring systems (Prometheus, Grafana) to ensure high performance and reliability of AI models and REST API endpoints.
• Collaborate with cross-functional teams to design and deploy models using FastAPI for REST API design and orchestration through Kubernetes and Docker.
• Utilize tools such as MLFlow, Vertex AI, Weights & Biases, and Google Cloud Project to manage model experimentation, CI/CD pipelines, continuous training, and deployment.
• Work with data warehousing (BigQuery), data lakes, and ETL frameworks to organize and streamline data operations.
• Engage in model performance tuning, optimization, and troubleshooting to improve accuracy, efficiency, and scalability.
• Follow Agile/Scrum methodologies to ensure smooth delivery of projects, manage timelines, and maintain an organized workflow.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field is required; Master’s degree preferred.
• Strong proficiency in Python, with experience in scripting (Bash/Shell) and object-oriented programming (OOP).
• Expertise in machine learning frameworks like PyTorch and Scikit-learn, with hands-on experience in building, training, and deploying models.
• Experience with SQL and database management (SQLAlchemy, BigQuery) for data querying and transformation.
• Knowledge of cloud platforms (Google Cloud Project) and containerization/orchestration tools (Docker, Kubernetes).
• Proficiency in building and maintaining data pipelines and ETL processes.
• Experience with CI/CD pipelines and continuous training workflows.
• Familiarity with Generative AI technologies, including Langchain, Langsmith, Hugging Face, and managing LLMs.
• Strong understanding of REST API design and development.
• Familiarity with monitoring and tracking tools such as Prometheus and Grafana for logging and performance tracking.
• Experience working in an Agile environment.

Preferred Skills:

• Advanced knowledge of model inference and optimization techniques.
• Experience with continuous integration and continuous delivery (CI/CD) tools and pipelines.