Software Engineer, AI
About The Position
As an AI Software Engineer on the Platform Engineering team at Cologix, you will play a key role in shaping how Generative AI is applied across our internal platforms and customer-facing solutions. You will work at the intersection of software engineering and applied AI, designing and delivering intelligent systems that drive real business impact. You’ll collaborate with a distributed North American team to turn ideas, stakeholder feedback, and emerging technologies into scalable, secure, and high-performing AI-powered products. This role emphasizes responsible AI development, with a strong focus on quality, accuracy, and security.
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
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or transfer sponsorship of an employment visa at this time, including CPT/OPT.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
