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Software Engineer, AI

13 minutes ago
United States
Full-time
Mid Level
Software Engineer
Software Development
AWS Azure Bash CI/CD Docker GCP Generative AI Kubernetes Linux LLM Postman Python REST API
Apply Now
Cologix

Cologix

Cologix, Inc. provides network neutral interconnection and colocation services, integrating hyperscale edge capacity with robust interconnection to empower digital transformation for carrier, media, financial services, and enterprise customers.

Diversified Telecommunication Services
251-1K
Founded 2010
$500M raised
View All Jobs 16

Description

  • 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 with a focus on 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 improve team delivery.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
  • Strong programming experience in Python.
  • Experience building and integrating REST APIs 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 and model evaluation, hallucination mitigation, and responsible AI practices.
  • Experience with containerization and deployment technologies such as Docker and Kubernetes.
  • Familiarity with CI/CD pipelines, modern DevOps practices, and observability tools for monitoring and logging distributed systems.
  • Must be authorized to work for any employer in the U.S.; sponsorship or transfer of visa sponsorship is not available, including CPT/OPT.

Interested in this position?

Apply directly on the company website

Apply Now

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