Software Engineer II - Python & AI/​ML Applications (Remote)

About the Role

We are looking for a talented Software Engineer II to join our dynamic team at Stats Perform. This remote Software Engineer II position offers the opportunity to work on cutting-edge AI and machine learning applications that enhance the sports experience for fans and professionals alike. As a part of our team, you will leverage your expertise in Python, web scraping, and cloud-native technologies to build innovative solutions that drive our mission forward.

What You'll Do

• Design, develop, and maintain Python-based AI/LLM applications, ensuring seamless integration with tools like Lang Chain and Docling.
• Build robust pipelines for document parsing, knowledge extraction, and intelligent automation.
• Collaborate with data scientists and AI researchers to integrate ML/LLM models into production-grade systems.
• Implement best practices for CI/CD using Argo CD and manage AI workflows on Kubernetes.
• Deploy scalable applications leveraging AWS cloud services, focusing on performance and reliability.
• Integrate logging and monitoring tools such as Prometheus, Grafana, and CloudWatch for enhanced observability.
• Participate in architecture discussions and contribute to the improvement of AI infrastructure.
• Ensure high availability, scalability, and security of deployed solutions.

Requirements

• 5-8 years of experience in Python development, with a strong focus on building AI/ML applications.
• Proven experience with Lang Chain, Docling, and other LLM frameworks.
• Hands-on experience in integrating LLM with APIs and vector databases.
• Strong knowledge of Git and CI/CD pipelines, particularly with Argo CD.
• Good understanding of Kubernetes for orchestrating AI/ML workloads.
• Familiarity with AWS services, including Lambda, CloudWatch, and S3.
• Experience with logging and monitoring tools like Prometheus and Grafana.
• Knowledge of prompt engineering and model evaluation.

Nice to Have

• Familiarity with AI/ML pipelines such as MLflow and Kubeflow.
• Understanding of microservices and distributed architectures.
• Experience with vector databases like Pinecone and FAISS.

What We Offer

• Competitive salary range of $120,000 - $150,000 per year.
• Flexible working hours and the option to work from anywhere.
• Mental Health Days Off and ‘No Meeting Fridays’ to promote work-life balance.
• Opportunities for professional development and growth within the company.
• Participation in charitable activities and Employee Resource Groups.
• A diverse and inclusive workplace that values creativity and innovation.