Ai Engineer

Job DetailExperience Level Sr LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000018608Salary Type AnnuallyIndustry SAAS;FinTechSelling Points Drive innovation in AI systems in a hybrid work environment. Lead impactful projects leveraging cutting-edge technologies and scalable solutions. Mentor teams and shape architectural decisions for measurable success.Job DescriptionOverviewDesign and deploy advanced AI systems to solve complex business challenges and drive innovation.Collaborate with multidisciplinary teams to identify AI opportunities and transform them into impactful solutions.Mentor and guide engineering teams, fostering growth and enhancing technical capabilities.Develop scalable and efficient AI/ML solutions leveraging cutting-edge technologies and cloud infrastructure.Implement robust evaluation frameworks to ensure continuous improvement and reliability of AI systems.Contribute to the advancement of AI technologies in compliance-sensitive and high-impact domains.Operate in a hybrid work environment, balancing in-office collaboration and remote flexibility.Utilize expertise in LLM systems, document intelligence, and ML platform design to innovate solutions.Key Responsibilities & DutiesArchitect and implement AI systems focused on workflow automation and document intelligence.Lead technical design and decision-making processes to align with organizational goals and best practices.Collaborate with stakeholders to ensure AI projects meet business objectives and deliver measurable outcomes.Develop and maintain ML pipelines for reliable and scalable AI system deployment.Establish evaluation metrics and frameworks to monitor and improve AI system performance.Enhance team processes and infrastructure to optimize development efficiency and reduce technical debt.Ensure adherence to software engineering best practices, including CI/CD, testing, and documentation.Optimize cost and latency for large-scale AI inference using advanced methodologies.Job RequirementsBachelor of Science degree in Computer Science, Engineering, or a related field.Minimum of 6 years of experience in developing and deploying production-grade AI/ML systems.Proficiency in Python and cloud-native development patterns for AI/ML workloads.Expertise in LLM systems, document intelligence, and scalable ML platform design.Strong knowledge of MLOps practices, including model training, deployment, and monitoring.Solid understanding of statistics, experimentation, and data quality principles.Proven ability to mentor engineers and lead technical design decisions effectively.Experience optimizing cost and latency for large-scale AI inference systems.