Job description

We are seeking a technically skilled Senior AI 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 practice 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 Posted Salary Range USD $130,500.00 - USD $174,000.00 /Yr.

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