Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (AI): Design and build Generative AI applications, including LLM integrations, prompt engineering, and retrieval-augmented generation (RAG) pipelines with an accent on performance, scalability, security, and responsible AI. Focus on integrating AI capabilities into internal systems and customer-facing applications, optimizing system performance, and implementing monitoring and feedback loops.
Location: Remote (Dallas, TX). Applicants must be authorized to work for any employer in the U.S. No sponsorship or transfer of employment visas, including CPT/OPT.
Company
Leading North American network-neutral interconnection and hyperscale edge data center company headquartered in Denver, Colorado, operating 45+ data centers across the US and Canada.
What you will do
- Design and build Generative AI applications with LLM integrations, prompt engineering, and RAG pipelines
- Develop clean, efficient code for off-the-shelf, semi-custom, and fully custom AI platforms
- Integrate AI into internal systems and customer-facing applications
- Evaluate, optimize AI performance, and implement monitoring, logging, and feedback loops
- Collaborate with stakeholders to translate business needs into scalable solutions
- Contribute to system design, code reviews, sprint planning, and documentation
Requirements
- Must be authorized to work in the U.S.; no visa sponsorship
- Bachelor’s degree in Computer Science, IT, or equivalent experience
- Strong Python programming
- Experience with REST APIs, testing (Postman), Linux/CLI/bash, log analysis
- Cloud platforms (AWS, GCP, Azure), databases, ORM
- Hands-on with LLMs (prompting, integration, fine-tuning), retrieval/ embeddings/ vector DBs, AI orchestration
- Containerization (Docker, Kubernetes), CI/CD, observability tools
Culture & Benefits
- Collaborate with distributed North American team
- Focus on engineering best practices, code reviews, and continuous improvement
- Strong emphasis on responsible AI, quality, accuracy, and security
- ISO 27001 and ISO 14001 certified data centers
- Commitment to ESG initiatives, information security, and environmental stewardship
- Equal Opportunity Employer
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