Summary: Seeking a GenAI Tech Lead with expertise in LLMs and AWS to lead and mentor a team of engineers, driving the development and deployment of cutting-edge AI solutions. Highlights: 1. Oversee development and deployment of cutting-edge AI solutions 2. Lead and mentor a team of ML engineers 3. Contribute code to critical or complex components Medellín, Antioquia,Bogotá, Capital District,Cali, Valle del Cauca,Barranquilla,Bucaramanga, Santander About project Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end\-to\-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization\-wide in such industries as Healthcare \& Life Sciences, Retail \& CPG, Media \& Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled GenAI Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting\-edge AI solutions while managing a team of engineers. This leadership role demands hands\-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Core Responsibilities: * Technical Leadership (40%) * + Set technical direction and standards for ML projects + Make architectural decisions for ML systems + Review and approve technical designs + Identify and address technical debt + Champion best practices in ML engineering + Troubleshoot complex technical challenges + Evaluate and introduce new technologies and tools * Mentorship \& Team Development (35%) * + Mentor junior and mid\-level ML engineers (2\-5 engineers) + Conduct technical code reviews + Provide guidance on technical problem\-solving + Help engineers debug complex issues + Create learning opportunities and growth paths + Share knowledge through workshops and documentation + Build technical competency across the team * Hands\-On Technical Work (25%) * + Contribute code to critical or complex components + Build proof\-of\-concepts for new approaches + Tackle highest\-risk technical challenges + Develop reusable ML accelerators and frameworks + Maintain technical credibility through active coding Requirements: * ML Engineering Excellence * + Deep ML Expertise: Advanced knowledge across multiple ML domains + Production ML: Extensive experience building production\-grade ML systems + Architecture: Ability to design scalable, maintainable ML architectures + MLOps: Strong understanding of ML infrastructure and operations + LLM Systems: Experience with modern LLM\-based applications and RAG + Code Quality: Exemplary coding standards and best practices * Technical Breadth * + Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit\-learn + Cloud Platforms: Advanced AWS experience, familiarity with others + Data Engineering: Understanding of data pipelines and infrastructure + System Design: Ability to design complex distributed systems + Performance Optimization: Experience optimizing ML models and infrastructure * Software Engineering * + Clean Code: Writes exemplary, maintainable code + Testing: Champions testing practices (unit, integration, ML\-specific) + Git \& Collaboration: Advanced Git workflows and collaboration patterns + CI/CD: Experience building and maintaining ML pipelines + Documentation: Creates clear, comprehensive technical documentation What We Offer: * Long\-term B2B collaboration; * Fully remote setup; * A budget for your medical insurance; * Paid sick leave, vacation, public holidays; * Continuous learning support, including unlimited AWS certification sponsorship. Interview stages: * Recruitment Interview; * Tech interview; * HR Interview; * HM Interview.