Sr. Software Engineer - GenAI and ML (Breakthrough)

DIVISION:

50BRKTH Breakthrough

POSITION SUMMARY

We are seeking a talented and experienced Sr. Software Engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full-stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.

This position can work hybrid in the Green Bay, WI area.

JOB RESPONSIBILITIES

Generative AI and Machine Learning Development: 

• Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions. 

• Fine-tune and optimize pre-trained AI/ML models for specific use cases. 

• Collaborate with engineers and data scientists to build and deploy scalable AI-driven features. 

Full Stack Development: 

• Write clean, efficient, and maintainable code for AI-powered software applications. 

• Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components. 

Architectural Design: 

• Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success. 

• Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems. 

Technical Excellence: 

• Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms. 

• Optimize and refactor code to address performance bottlenecks in AI/ML pipelines. 

• Write and execute robust unit and integration tests for AI/ML models and other software components. 

• Troubleshoot and resolve issues related to AI/ML model performance and system integration. 

Innovation: 

• Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models. 

• Propose and implement creative solutions using AI to solve business problems and enhance user experiences. 

Collaboration: 

• Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration. 

• Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field. 

QUALIFICATIONS

• Bachelor’s degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 

• 5+ years as a software engineer, with a focus on a combination of frontend, backend, and data engineering.

• 2+ years experience using AI/ML libraries and frameworks (e.g., GPT-4, Gemini, Llama, Vertex, TensorFlow, Scikit-learn ) training and fine-tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches. 

• Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery. 

• Knowledge of application architectures, security best practices, and data integration concepts. 

• Exposure to ETL technologies and data engineering with a focus on building and maintaining data platforms and pipelines.  

• Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow. 

• Understanding of database concepts, data modeling, and data warehousing principles. 

• Understanding of distributed data ma