Senior AI Engineer

• Translate product requirements and user stories into robust AI/ML solutions
• In collaboration with external partners, design, develop, and deploy AI-powered chat assistants and automation tools for internal teams
• Integrate AI solutions with existing databases, APIs, and business applications
• Build, train, evaluate, and maintain machine learning models, with a focus on production readiness and scalability
• Collaborate with IT and data teams to ensure data quality, security, and compliance
• Document technical designs, code, and deployment processes
• Stay current with advancements in AI/ML technologies and recommend best-fit solutions
• Provide technical support for deployed AI systems and assist with troubleshooting as needed

Artificial Intelligence (AI), Business Solutions, Artificial Intelligence (AI), Requirements Management, Automation, Application Programming Interface (API), Machine Learning, Equipment Maintenance/Repair, Data Quality, Information/Data Security (InfoSec), * Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; or equivalent combination of education and relevant professional experience

• 6 - 8 years of hands-on experience developing and deploying AI/ML solutions in a production environment, with at least 4 years specifically focused on LLM-based GenAI applications
• Proven experience developing LLM agents using frameworks such as LangChain, AutoGen, or similar orchestration layers
• Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with natural language processing (NLP) and building chatbots or conversational AI systems
• Strong knowledge of database systems and data integration
• Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions
• Ability to write clean, maintainable, and well-documented code
• Strong problem-solving skills and attention to detail
• Experience with MLOps practices and tools for model deployment and monitoring
• Experience working in agile, cross-functional teams

Preferred Qualifications

• Experience with RPA (Robotic Process Automation) tools
• Knowledge of data privacy and security best practices

Collaboration

• Work closely with the Product Manager, who will define and prioritize AI projects and features
• Collaborate with IT, data, and business teams to ensure seamless integration and deployment of AI solutions

Location Type: On-Site Pay Range: USD $150,000.00 - USD $195,000.00 /Yr.