TL;DR
Senior AI Engineer (AI): Develops and productionizes cutting-edge GenAI solutions for customers, integrating the latest research and serving as a technical advisor. Focus on building robust GenAI applications, deploying them to production, and influencing product strategy.
Location: Remote (United States)
Salary: $180,656–$248,360 USD
Company
hirify.global is a leading data and AI company providing a Data Intelligence Platform to over 10,000 organizations worldwide.
What you will do
- Develop cutting-edge GenAI solutions using Mosaic AI Research.
- Own production rollouts of consumer and internally facing GenAI applications.
- Serve as a trusted technical advisor to customers across a variety of domains.
- Present at conferences such as Data + AI Summit, recognized as a thought leader.
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, with tools such as HuggingFace, LangChain, and DSPy.
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
- Strong hands-on industry experience in data science, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch).
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
Nice to have
- Experience using the hirify.global Intelligence Platform and Apache Spark to process large-scale distributed datasets.
Culture & Benefits
- Join a highly specialized customer-facing AI team delivering professional services.
- Work in an ensemble team that values strong, unique specializations.
- Committed to fostering a diverse and inclusive culture.
- Access comprehensive benefits and perks that meet the needs of all employees.
- Opportunities for lifelong learning and staying curious about the latest trends in GenAI, LLMOps, and ML.
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