AI Engineer

About Genius Match 

Genius Match was established in 2008 with the mission to connect exceptional global technical talent with high-growth opportunities. We have served as strategic partners to leading technology companies, innovative startups, and established enterprises by building cohesive, high-performing engineering teams that deliver immediate impact.  

Since our inception, our long-standing commitment to excellence has driven our exceptional client retention rate and our ability to truly understand our clients' business goals, speak their technical language, and consistently deliver both immediate value and long-term results. In the same way that we strive to support our clients and employees, we’re passionate about making a positive difference in our global community. 

The Opportunity 

We are seeking an experienced Staff AI/ML Engineer to lead the design and deployment of advanced AI solutions across a range of applications. You will focus on AI system architecture, generative AI, LLM integration, and enterprise-grade AI application development. The ideal candidate combines deep technical expertise with leadership skills to guide teams, establish best practices, and deliver innovative AI solutions that scale. 

As an AI Engineer, you will:

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  Design, develop, and deploy AI and machine learning models, including generative AI and NLP applications;

   

   

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  Work with LLMs, AI agents, RAG, and prompt engineering to build AI-powered solutions;

   

   

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  Apply machine learning and deep learning techniques for text analysis, classification, extraction, and other data-driven tasks;

   

   

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  Collaborate closely with product and engineering teams to translate business problems into technical solutions;

   

   

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  Contribute to prototypes, new product features, and enhancements for existing products. 

   

   

Qualifications: 

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  3+ years of software development experience with at least 2 years in machine learning, NLP, generative AI, or related fields;

   

   

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  Hands-on experience with LLMs and AI techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation;

   

   

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  Strong programming skills in Python, with experience using ML libraries such as PyTorch, Huggingface Transformers, Scikit-learn, SpaCy, or similar;

   

   

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  Experience with SQL/NoSQL databases and cloud platforms;

   

   

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  Solid understanding of ML algorithms, statistical modeling, and deep learning;

   

   

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  Experience deploying ML or AI models into production environments;

   

   

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  Comfortable working in agile, collaborative teams in a remote or distributed setup;

   

   

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  MS, PhD, or equivalent experience in Computer Science, Data Science, or related fields. 

   

   

What we offer: 

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  Competitive market compensation; 

   

   

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  Fully remote work with flexible hours;

   

   

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  Work on socially impactful products with a US-based, international, high-performing teams;

   

   

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  Opportunity to tackle complex challenges, grow professionally, and influence product direction.