AI Engineer Manager

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Oversee the complete delivery of AI projects, ensuring effective governance, strong communication with stakeholders, and dependable execution.

• Create and develop resilient RAG systems, agentic frameworks, and LLM-driven solutions suitable for production settings.

• Implement advanced prompt engineering methodologies, including instruction design, few-shot prompting, structured outputs, and tool/agent prompts.

• Conduct feasibility evaluations for various approaches such as prompting, RAG, fine-tuning, classical ML, and hybrid solutions.

• Develop evaluation frameworks utilizing LLM-as-a-judge, custom metrics, recall@k, precision@k, and go/no-go gates.

• Execute structured experiments examining prompts, retrievers, chunking strategies, embeddings, reranking methods, and models.

• Detect and classify model failures, including hallucinations, retrieval misses, instruction-following errors, and quality regressions.

• Construct scalable inference infrastructure and CI/CD pipelines for AI and ML models.

• Automate the MLOps/LLMOps lifecycle, which includes tracking, versioning, deployment, monitoring, retraining, and continual improvement.

• Design APIs, microservices, and orchestration layers that are optimized for latency, cost, reliability, and scalability.

• Provide mentorship to junior engineers.

• Participate in proposals, solution design, and new business initiatives.

• Engage in communication with engineering teams, senior stakeholders, and clients.

• Assist clients in making practical decisions regarding AI system capabilities.

⛳️ Requirements

• Over 6 years of professional experience in building and deploying AI, ML, or data-driven/software solutions in production environments.

• Strong proficiency in Python.

• Solid understanding of Git practices.

• Hands-on experience with LLM-powered solutions, RAG systems, and contemporary GenAI development patterns.

• Practical experience with chunking, embeddings, retrieval, reranking, and evaluation processes.

• Strong grasp of prompt engineering, including structured outputs, few-shot prompting, instruction design, and tool/agent prompts.

• Demonstrated experience in designing AI evaluation strategies, encompassing metrics, dataset curation, structured experimentation, and quality gates.

• Familiarity with MLOps/LLMOps tools such as MLflow, Weights & Biases, or similar platforms.

• Solid cloud experience with AWS, Azure, or GCP.

• Experience in containerization, orchestration, scalable inference, APIs, and microservices.

• Understanding of event-driven architectures and production-grade engineering practices.

• Ability to communicate clearly with engineering teams, senior stakeholders, and clients.

• A pragmatic approach to balancing innovation, reliability, cost, latency, and business value.

• Advanced English proficiency required for both written and verbal communication.

• Azure experience is preferred.

• Nice to have: experience with Databricks MLOps platform, LLM fine-tuning, agentic GenAI systems, Infrastructure as Code, security and observability practices for AI services, classical machine learning, and open-source contributions or public technical work.

🏝️ Benefits

• Flexible working arrangements.

• All necessary equipment provided to leverage your talent (Macbook and accessories).

• Daily lunches at headquarters, with options for vegetarian, vegan, gluten-free, and sugar-free diets.

• Gourmet meals every Friday prepared by an on-site chef at headquarters.

• Snacks and beverages readily available every day at headquarters.

• After-office events, including football, tennis, and game nights at headquarters.

• Football league, pool games, tennis courts, chess championships, and game and music nights.

• Opportunities for AWS certifications, study plans, courses, and other certifications.

• English language lessons.

• Learning sessions from teammates on Tech Tuesdays.

• Mentoring and development opportunities.

• Gifts for anniversaries and birthdays.