Senior AI Engineer

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September 20

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Lean Tech

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B2B • Recruitment • SaaS

Lean Tech is a staff augmentation company that specializes in offering businesses the talent and support they need through a proven nearshore and offshore model. The company helps in establishing remote satellite offices in Latin America and the Philippines, building mission-critical teams across various business functions such as operations, technology, marketing, and sales. Lean Tech focuses on workforce optimization, providing tailored solutions to align people, processes, and technology to enhance customer experiences while minimizing costs. The company also emphasizes social impact by engaging in corporate social responsibility initiatives.

501 - 1000 employees

🤝 B2B

🎯 Recruiter

☁️ SaaS

📋 Description

• Architect, develop, and deploy applied AI solutions that improve workflows, deliver measurable business impact, and drive meaningful changes to organizational processes. • Lead cross-functional stakeholder engagement by clearly communicating AI concepts, opportunities, limitations, and recommended approaches to both technical and non-technical audiences to influence product and operational decisions. • Design and apply generative AI and other model-based techniques to enable automation, accelerate design tasks, and create new product capabilities. • Analyze complex datasets to identify patterns, quantify opportunities, optimize operations, and inform model design and evaluation criteria. • Define AI roadmaps and integration plans in collaboration with product, design, and engineering teams to ensure timely, maintainable, and production-ready delivery of AI features and services. • Contribute to mechanical CAD workflows by designing AI-driven features that enhance modeling, design automation, and user productivity (e.g., Fusion). • Establish and champion engineering best practices for model development, evaluation, deployment, and monitoring to maintain reliability, reproducibility, and operational performance of AI services. • Mentor and provide technical leadership to engineers and collaborators through code and model reviews, technical guidance, and by fostering knowledge transfer across teams. • Define success metrics, track performance and impact of AI initiatives, and communicate outcomes and risks to leadership and stakeholders. • Collaborate with operations and infrastructure partners to ensure deployed solutions meet operational, scalability, and maintainability requirements.

🎯 Requirements

• Minimum 5+ years of hands-on experience applying AI in practical, enterprise contexts, with senior-level responsibility for end-to-end solutions. • Proven experience and ability to communicate complex AI concepts clearly and persuasively to both technical and non-technical stakeholders, influencing decisions and adoption. • Demonstrated track record architecting, developing, and deploying applied AI solutions that deliver measurable business impact and improve software or operational workflows. • Strong proficiency in Python and extensive practical experience with AI frameworks such as TensorFlow and PyTorch. • Practical experience deploying AI services within cloud-native architectures (AWS, Azure, or equivalent) and integrating models into production software workflows. • Advanced capability in analyzing complex datasets to identify patterns, optimize operations, and drive innovation across product and engineering processes. • Experience designing AI solution architecture, including model selection, system integration, and considerations for reliability and maintainability in production. • Demonstrated impact of AI initiatives in improving development efficiency, product workflows, or operational outcomes. • Experience mentoring and leading other engineers, contributing to roadmaps, and collaborating effectively with cross-functional teams. • Strong problem-solving skills, attention to detail, and a pragmatic focus on delivering reliable, maintainable solutions in production environments. • Experience contributing to or designing features for CAD-related workflows (e.g., Fusion) that enhance mechanical modeling or design automation (desired). • Familiarity with Generative AI techniques and their practical application to product features or automation (desired).

🏖️ Benefits

• Opportunity to work on impactful projects • Collaborate with top-tier engineers and stakeholders • Supportive environment that values creativity • Continuous learning and professional growth • Empowerment to make meaningful contributions