Artificial Intelligence & Machine Learning Engineer
Description
Company Overview:
Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
Currently, we are seeking a AI Engineer with a strong English level to join our team. Here are the challenges that our next warrior will face and the requirements we look for:
Position Title: Artificial Intelligence & Machine Learning Engineer
Location: Colombia (Remote)
What you will be doing:
As AI engineer, you will guide the design, development, and implementation of AI-based automation solutions. This role blends high-level design thinking with hands-on prototyping and team enablement.
- Prototype initial versions of AI solutions, iterating across different software tools to identify optimal approaches before delegating and supervising implementation.
- Collaborate closely with the frontend and backend teams to ensure seamless system integration and alignment with project goals.
- Optimize and orchestrate intelligent agents, automation workflows, and backend services to improve reliability, exception handling, and operational efficiency.
- Monitor development velocity and implementation quality using technical indicators like system resilience under stress, clarity of end-user data output, and response accuracy.
- Act as a key contributor in solution reviews, debugging sessions, and performance tuning activities.
Requirements & Qualifications
To excel in this role, you should possess:
- Main Skills:
These are the must-haves that are essential for this position.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 2+ years of experience in Machine Learning or AI-focused engineering roles.
- Proven expertise in designing, prototyping, and leading implementation of AI solutions using Large Language Models (LLMs), agent orchestration frameworks, and automation pipelines.
- Advanced experience with NLP and audio processing, including ASR (Automatic Speech Recognition), TTS (Text-to-Speech), voice activity detection, and sentiment analysis.
- Strong proficiency in Python, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Deep understanding of architectural decision-making, system modularization, and scalability in AI solutions, including no-code/low-code and backend integration.
- Familiarity with MLOps practices and tools for model versioning, testing, and deployment in production environments.
- Experience with real-time streaming systems and latency optimization for interactive AI applications.
- Strong command of cloud platforms (AWS, Azure, or GCP), with emphasis on AI and speech processing services.
- Ability to define and enforce quality standards, including stress testing, exception handling, and monitoring of key performance indicators.
- Excellent debugging and system troubleshooting skills, particularly in multi-component or distributed AI systems.
- Outstanding communication skills to collaborate with stakeholders and translate business needs into scalable technical strategies.
- Secondary Skills:
These are additional skills that will help you succeed in this role.
- Familiarity with LLMs, agent frameworks, and orchestration tools (e.g., LangChain, AutoGen, Zapier, Make)
- Experience working with frontend teams and aligning backend-AI interfaces
- Cloud architecture knowledge (AWS, GCP, Azure)
- Strong documentation skills (technical diagrams, API flows, DevDocs)
- Comfort with fast prototyping tools, experimentation with emerging AI platforms
- Exposure to DevOps practices or CI/CD for ML pipelines
- Data clarity principles (ensuring transparency in client-facing outputs)
- Soft skills:
- Exceptional problem-solving skills and an analytical mindset, crucial for developing and optimizing AI-driven solutions for customer service enhancements.
- Ability to thrive in a fast-paced, collaborative environment, working with cross-functional teams to deliver innovative voice-based AI solutions.
- Excellent communication skills, essential for translating complex technical concepts into accessible information for non-technical stakeholders.
- Dedication to enhancing customer experiences through AI and automation, reflecting a passion for pioneering advancements in machine learning and voice technologies.
Why you will love Lean Tech:
- Join a powerful tech workforce and help us change the world through technology
- Professional development opportunities with international customers
- Collaborative work environment
- Career path and mentorship programs that will lead to new levels.
Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.