Software Engineer, AI

Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. As an AI Software Engineer on the Platform Engineering team, you will design and deliver intelligent systems that leverage Generative AI to drive business impact while ensuring responsible AI development and collaboration with cross-functional teams.

Responsibilities:

• Design and build Generative AI applications, including LLM integrations, prompt engineering, and retrieval-augmented generation (RAG) pipelines
• Develop clean, efficient, and reusable code across off-the-shelf, semi-custom, and fully custom AI platforms
• Integrate AI capabilities into internal systems and customer-facing applications
• Evaluate and optimize AI system performance, ensuring accuracy, reliability, and responsible usage
• Implement monitoring, logging, and feedback loops for AI systems in production
• Collaborate with cross-functional stakeholders to translate business needs into scalable technical solutions
• Contribute to system design and architecture with a focus on performance, scalability, and security
• Troubleshoot issues, resolve bugs, and support escalated production incidents as needed
• Participate in code reviews and promote engineering best practices across the team
• Contribute to sprint planning, backlog refinement, and retrospectives to continuously improve team delivery
• Document code, systems, and processes to ensure maintainability and knowledge sharing
• Demo and communicate solutions effectively to technical and non-technical stakeholders

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience
• Strong programming experience in Python
• Experience building and integrating APIs (REST) and testing them using tools such as Postman or similar
• Solid experience with Linux environments, including CLI usage, bash scripting, and log analysis
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Proven experience working with databases and Object-Relational Mapping (ORM) tools
• Familiarity with software development best practices, including testing, code reviews, and secure coding
• Hands-on experience working with large language models (LLMs), including prompting, API integration, or fine-tuning
• Familiarity with retrieval techniques, embeddings, and vector databases
• Experience with AI orchestration frameworks
• Understanding of model evaluation, hallucination mitigation, and responsible AI practices
• Experience with containerization and deployment technologies (e.g., Docker, Kubernetes)
• Familiarity with CI/CD pipelines and modern DevOps practices
• Experience with observability tools for monitoring and logging distributed systems