Ai Engineer

Experteer Overview In this role you will design and deploy advanced AI systems to tackle complex business problems within a hybrid work setup. You will work with cross-functional teams to translate AI opportunities into scalable solutions, while mentoring engineers and guiding architectural decisions. You’ll build and maintain ML pipelines, evaluate performance, and optimize cost and latency for large-scale AI inference. This position focuses on LLMs, document intelligence, and cloud-based platforms to drive innovation in SaaS and FinTech contexts. Compensation / Benefits * Architect and implement AI systems focused on workflow automation and document intelligence * Lead technical design and decision-making processes aligned with business goals * Collaborate with stakeholders to ensure AI projects deliver measurable outcomes * Develop and maintain ML pipelines for reliable deployment * Establish evaluation metrics and frameworks to monitor performance * Enhance team processes and infrastructure to reduce technical debt * Ensure adherence to software engineering best practices (CI/CD, testing, documentation) * Optimize cost and latency for large-scale AI inference using advanced methodologies Tasks * Bachelor 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 (training, deployment, monitoring) * Solid understanding of statistics, experimentation, and data quality principles * Proven ability to mentor engineers and lead technical design decisions * Experience optimizing cost and latency for large-scale AI inference systems Key requirements *

large-scale to reduce technical debt * Ensure adherence to software engineering best practices (CI/CD, testing, documentation) * Optimize cost and latency for large-scale AI inference using advanced methodologies Tasks * Bachelor 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 (training, deployment, monitoring) * Solid understanding of statistics, experimentation, and data quality principles * Proven ability to mentor engineers and lead technical design decisions * Experience optimizing cost and latency for large-scale AI inference systems Key requirements *