GenAI Engineer

Mechanized AI; Ciudad de México; A distancia; USD 60,000 - 80,000; Jornada completa

Descripción de la vacante

Mechanized AI is seeking a talented GenAI Engineer to advance our AI-driven platform. This role requires over 4 years of hands-on machine learning experience, a bachelor's degree, and expertise in cloud-based solutions and AI model optimization. Join us in delivering cutting-edge solutions while fostering a culture of innovation and learning.

Formación

• 4+ years of ML experience, preferably in a start-up or enterprise.
• Advanced English communications skills (C1/C2).
• Experience with Generative AI applications is a high priority.

Responsabilidades

• Build and enhance the Mechanized AI platform and AI-enabled products.
• Design and implement ML systems and algorithms.
• Serve as ML Subject Matter Expert on client projects.

Conocimientos

Machine Learning

Cloud Environments

Python Programming

NLP Techniques

Object-Oriented Programming

Problem Solving

Client Delivery Experience

Effective Communication

Educación

Bachelor's degree in computer science, software engineering or related field

Herramientas

TensorFlow

PyTorch

Keras

Docker

Kubernetes

Descripción del empleo

Title: GenAI Engineer

Job Type: Full-Time

Location: Remote

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to future-proof their applications, helping them meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering AI-driven solutions. We foster a culture of creativity, collaboration, and continuous learning.

Job Summary:

We are seeking a highly skilled GenAI Engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential. Those with a passion for staying at the forefront of AI advancements and delivering high-impact solutions will excel in this role.

Key Responsibilities:

• Contribute to building and enhancing our Mechanized AI platform and AI-enabled
• products including mAI Modernize
• Serve as ML SME on client projects as needed
• Design ML systems
• Research and implement appropriate ML algorithms and tools
• Select appropriate datasets and data representation methods
• Run ML tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
  
• Stay current with emerging technologies and ML best practices to continuously
• improve our methodologies and tools

Required Skills & Experience:

• 4+ years of ML experience at a start-up or larger enterprise – high priority
• 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority
• Client delivery experience – high priority
• Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority
• Bachelor’s degree in computer science, software engineering or related field
• Experience with cloud environments (e.g., AWS, Azure, GCP)
• Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn)
• Experience developing, deploying, and managing/monitoring models
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture
• Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies
• Advanced experience in NLP techniques and applications
• Strong proficiency in Python programming
• Familiarity with prompt engineering approaches and best practices
• Knowledge of data structures, data modeling, and software architecture
• Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
• Ability to work independently and as part of a collaborative team in a fast-paced environment

Preferred Qualifications:

• Experience in any of the following:
  • Agent development
  • Data privacy
  • Fine tuning LLMs
  • LLM architecture and techniques for performance
  • MLOps
  • ML evaluation
  • Model decay and data drift detection and handling
  • Pulumi, Terraform, and/or Cloud SDKs
  • PySpark
  • Quantization
    
  • Retrieval-augmented generation (RAG) optimization
  • Security
  • Vector databases

Contact:

Gabriel Martinez
Recruiter
Mechanized AI