Senior AI Engineer

Opportunity Information:

We are seeking a technically skilled SeniorAI Engineer to design, develop, and deploy AI-powered solutions across our organization. Your work will include building AI chat assistants, integrating AI with databases and business systems, and automating processes to drive efficiency and innovation.

Key Responsibilities

• 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

Required Qualifications

• 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.