Sr. GenAI Engineer
Finbott
- Location
- Atlanta, GA, US
- Track
- Generative AI
- Level
- Senior
- Salary
- $100K–$120K / yr
- Posted
- October 8, 2026
- Source
- Indeed
Job description
Overview
We are seeking a dynamic and innovative Sr. GenAI Engineer to lead the development and deployment of cutting-edge Generative Artificial Intelligence (GenAI) solutions. In this role, you will harness the power of AI models, machine learning frameworks, and big data systems to create scalable, efficient, and impactful AI-driven applications. Your expertise will drive advancements in natural language processing, predictive modeling analysis, and generative AI technologies, transforming complex data into actionable insights. Join us to shape the future of AI innovation and deliver transformative solutions across diverse domains.
Duties
- Design, develop, and optimize large-scale AI models using frameworks such as TensorFlow and machine learning cloud services to support generative AI applications.
- Lead model training and evaluation efforts with a focus on natural language processing (NLP), predictive modeling analysis, and statistical modeling techniques.
- Collaborate with cross-functional teams to integrate AI models into production environments through model deployment strategies that ensure scalability and robustness.
- Conduct statistical analysis for research purposes using tools like R, SAS, and statistical analysis tools to validate model accuracy and performance.
- Develop innovative solutions leveraging big data systems such as Hadoop and Spark implementation for high-volume data mining and analytics.
- Explore emerging AI trends including quantum engineering and generative AI to enhance existing systems or create new capabilities.
Requirements
- Proven experience in machine learning/AI-based analysis with a strong background in natural language processing (NLP) and generative AI technologies.
- Expertise in Python, Java, C, Bash (Unix shell), VBA, and other programming languages relevant to AI development.
- Hands-on experience with cloud-based machine learning services on AWS or similar platforms for model training and deployment.
- Deep understanding of big data systems including Hadoop, Spark implementation, SQL/SQL databases, and data analytics tools like Looker or Tableau.
- Strong knowledge of statistical analysis tools such as R or SAS for research-driven insights.
- Familiarity with machine learning frameworks like TensorFlow, Spark MLlib, or similar for building scalable models.
- Experience with data mining techniques using tools like Talend or Looker to extract meaningful insights from large datasets.
- Knowledge of database design principles combined with expertise in ETL processes for efficient data management.
- Ability to work collaboratively across teams on complex projects involving scalable AI models, predictive analytics, and model evaluation strategies.
Join us as a Sr. GenAI Engineer to push the boundaries of artificial intelligence! Your innovative mindset will help craft transformative solutions that leverage the latest in machine learning frameworks, big data systems, and generative AI technologies—delivering impactful results that shape the future of technology-driven industries.
Pay: $100,000.00 - $120,000.00 per year
Benefits
- Relocation assistance
Work Location: In person