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Sr. Software Engineer - AI/ML (Python) - Hybrid

Conexess Group

Ann Arbor · On-site Full-time Senior 5d ago

About the role

Sr. Software Engineer - AI/ML (Python)

Job Description/Preferred Qualifications

We are seeking an experienced AI Software Engineer to join our team and help drive the development and deployment of cutting-edge AI solutions. The ideal candidate will have experience developing and deploying Generative AI solutions, Large Language Models (LLMs), and cloud-based software deployments. This role requires expertise in Python, deploying and supporting cloud-base solutions (Azure preferred), and ensuring production applications are scalable, reliable, and well-maintained.

Responsibilities:

• Design, develop, and deploy AI-driven solutions leveraging Generative AI and LLMs • Architect and implement scalable, cloud-based AI applications (Azure experience preferred) • Build and optimize AI models using Python and modern ML frameworks • Ensure reliable software deployment and support production environments • Drive best practices in AI, cloud deployment, and solution architecture • Monitor and troubleshoot production AI applications, ensuring high availability and performance • Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into software products • Provide technical mentorship and guidance to junior engineers

Minimum Qualifications

• Bachelor's degree in CS, IT, Computer Engineer or related field • Minimum eight (8) years of proven experience in software engineering, AI engineering, cloud engineering, or a similar role • Experience supporting and maintaining production AI applications • Solid understanding of solution architecture, software deployment, and cloud infrastructure • Experience deploying applications to cloud environments (Azure Preferred) • Hands-on expertise in Generative AI and Large Language Models (LLMs) • Proficiency in Python and experience with AI/ML frameworks (e.g., CUDA, OpenAI, Hugging Face, or similar) • Ability to collaborate effectively with multi-functional teams and partners

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