📌 Industry: B2B | AI & Machine Learning
📌 Location: Remote (Mexico, Uruguay, Colombia, Argentina, Chile, Brazil, Costa Rica, Puerto Rico, Nicaragua, Dominican Republic, El Salvador, Honduras, Panama)
📌 Salary: $48,000 – $84,000 annual
📌 Company: Mechanized AI
About Mechanized AI
Mechanized AI is a cutting-edge AI solutions provider, specializing in modernizing legacy systems for enterprise clients. By integrating AI-driven innovations, we help businesses enhance efficiency, scalability, and competitiveness in today’s digital world.
Our dynamic, fast-paced environment fosters creativity, collaboration, and continuous learning. We thrive on solving complex problems, pushing the boundaries of Machine Learning (ML), Large Language Models (LLMs), and Generative AI (GenAI).
We are looking for an experienced AI Engineer to join our growing team.
🛑 Important: This is a full-time position open to candidates from LATAM.
Tech Stack & Tools
- Programming: Python, Object-Oriented Programming (OOP)
- Machine Learning: TensorFlow, PyTorch, Keras, scikit-learn
- Cloud: AWS, Azure, GCP
- Containerization & Deployment: Docker, Kubernetes
- AI & NLP: Large Language Models (LLMs), Generative AI (GenAI)
- Software Development: Unit testing, data structures, software architecture
Requirements
✅ Must-Have Skills:
- 4+ years of professional ML experience in startups or enterprise settings
- 6+ months of hands-on experience with LLMs and Generative AI applications
- Proven client delivery experience
- Strong English communication skills (C1/C2 level)
- Bachelor’s degree in Computer Science, Software Engineering, or related field
- Experience with cloud platforms (AWS, Azure, GCP)
- Proficiency in ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn)
- Hands-on experience in developing, deploying, and monitoring ML models
- Expertise in Docker, Kubernetes, and microservices architecture
- Strong OOP principles and unit test-driven development
- Advanced knowledge of NLP techniques and applications
- Familiarity with prompt engineering
- Strong analytical and problem-solving skills
✅ Nice-to-Have Skills:
- Experience in agent development, fine-tuning LLMs, and MLOps
- Knowledge of data privacy, model decay, and data drift detection
- Hands-on experience with Terraform, Pulumi, or Cloud SDKs
- Understanding of retrieval-augmented generation (RAG) optimization and vector databases
- Expertise in PySpark, quantization, and AI security best practices
Key Responsibilities
🔹 AI Development & Research:
- Contribute to the Mechanized AI platform and AI-enabled products, including mAI Modernize
- Design and develop ML systems, algorithms, and tools
- Implement LLMs, GenAI models, and NLP-based solutions
- Perform statistical analysis, model fine-tuning, and retraining
🔹 Client Engagement & Solution Delivery:
- Serve as an ML Subject Matter Expert (SME) on client projects
- Collaborate with teams to deploy AI-driven solutions
- Optimize data representation, AI model selection, and testing frameworks
🔹 Continuous Improvement & Innovation:
- Extend and enhance existing ML libraries and frameworks
- Stay updated on emerging ML trends, best practices, and AI technologies
- Conduct performance tests and AI model evaluations
Recruitment Process
1️⃣ Intro Call – Conversation with a Mechanized AI Recruiter
2️⃣ Technical Assessment (Part 1) – LLMs & AI Agents Test (30 minutes)
3️⃣ Interview with a Senior AI Engineer
4️⃣ Interview with the Chief AI Officer
5️⃣ Interview with the CTO
6️⃣ Technical Assessment (Part 2) – Coding Challenge (45 minutes)
Benefits & Perks
✔ 20 days of PTO
✔ Local public holidays off
✔ Reimbursement for relevant certifications (e.g., AWS, Azure, GCP, ML certifications)
Why Join Us?
🚀 Work on cutting-edge AI and ML solutions in a fast-growing company
🤝 Collaborate with top AI engineers, researchers, and industry leaders
🌍 Enjoy remote work flexibility in LATAM with a strong company culture
📈 Advance your career in AI innovation, GenAI, and enterprise modernization
🎯 Ready to shape the future of AI? Apply now at iuliana@euroasiarecruiting.com