Description

Description
Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. They work with enterprise clients to breathe life into their existing software, ensuring that these clients can meet the demands of today’s fast-paced, digital landscape. Their team thrives on solving complex challenges and delivering innovative solutions. As an organization, they are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

They are seeking an experienced AI Engineer to join their growing team.

The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia. They must be passionate about AI and stay up to date with the latest developments in the field.

Important: This position is full-time and the company is searching for candidates from LATAM
Technologies
Python
ML
AWS/GCP/Azure
Docker/Kubernetes
LLMs
GenAI
OOP
TensorFlow/PyTorch/Keras/scikit-learn
English
Requirements
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
Proficiency in Python programming
Familiarity with prompt engineering approaches and best practices
Knowledge of data structures, data modeling, and software architecture
Analytical and problem-solving skills, with the ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment
Experience in any of the following is preferred, not required:

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
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
Recruitment Process
Intro conversation with Mechanized AI Recruiter
Candidate completes Part 1 — LLMs and AI Agents Technical Assessment (30 minutes)
Interview with Senior AI Engineer
Candidate completes Part 2 — LLM Coding Challenge (45 minutes)
Interview with Chief AI Officer
Final Interview with CTO
Benefits
20 days of PTO
Local public holidays off
Reimbursement for relevant certifications (e.g., AWS)

Location

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