Role Overview
We are seeking a highly skilled Senior AI/ML Developer to design, architect, and deliver enterprise-grade Generative AI solutions , with a strong focus on healthcare use cases . The adecuado candidate will combine deep technical expertise in machine learning, large language models (LLMs), and software engineering to build scalable, secure, and responsible AI systems.
Key Responsibilities
AI/ML Development & Architecture
Design and develop scalable AI/ML solutions using LLMs and other machine learning models .

Architect and implement Generative AI systems that are scalable, resilient, and aligned with ethical AI practices.

Work as a Subject Matter Expert (SME) for Generative AI, partnering with Product and Engineering teams.

Develop and maintain end-to-end AI pipelines , including:
Data preprocessing

Feature engineering

Model training and evaluation

Solution Design & Integration
Build extensible APIs and integrations to connect AI models with enterprise systems.

Develop low-code/no-code UI/UX solutions for rapid delivery cycles.

Design structured outputs (JSON, arrays, HTML) with nested nodes , ensuring seamless frontend/dashboard consumption .

Implement solutions integrating LLMs (e.g., GPT models) to extract insights and deliver actionable data.

Cloud & Distributed Systems
Architect and deploy solutions on cloud platforms such as AWS, Azure, or GCP.

Build and maintain distributed, scalable systems for AI workloads.

Optimize models and systems for performance, scalability, and efficiency .

AI Optimization & Prompt Engineering
Optimize generative AI models for improved accuracy and response quality.

Develop effective prompt engineering strategies based on understanding how AI interprets data.

Implement advanced use cases such as:
Retrieval-Augmented Generation (RAG)

Conversational systems

Summarization and translation

Responsible AI & Governance
Design solutions aligned with Responsible AI principles :
Fairness





Transparency

Security

Accountability

Identify, assess, and mitigate risks associated with generative AI systems .

Ensure compliance with privacy and data protection standards , especially in healthcare environments.

Collaboration & Documentation
Collaborate closely with cross-functional teams including Product, Data, and Engineering.

Translate business problems into actionable AI-driven solutions .

Create clear documentation:
Technical specifications

Architecture diagrams

User guides and presentations

Contribute to best practices and standards for AI/ML development across the organization.

Required Qualifications
Proven experience delivering at least one large-scale Generative AI solution .

Strong hands-on experience with:
Machine Learning & AI (especially NLP and Generative AI)

Frameworks: TensorFlow, PyTorch

Open-source platforms: Hugging Face

Experience working with:
LLMs (GPT family, DALL·E, or similar)

Data pipelines and ML lifecycle management

Strong software engineering skills for deploying AI into production environments.

Experience building APIs, system integrations, and scalable architectures .

Solid understanding of distributed systems design .

Preferred Qualifications
Experience in healthcare domain or regulated environments.

Hands-on experience with:
RAG architectures

AI-powered dashboards and visualization tools

Familiarity with CI/CD and DevOps practices .

Experience designing enterprise-grade, production-ready AI systems .

Technical Skills
Programming: Python (preferred), SQL

AI/ML: NLP, LLMs, Generative AI

Frameworks: TensorFlow, PyTorch

Tools: Hugging Face, APIs, data pipelines

Cloud: AWS, Azure, GCP

Data formats: JSON, HTML, structured outputs

Version control: Git

Soft Skills
Strong analytical and problem-solving abilities

Excellent communication skills (technical and non-technical audiences)

Ability to work in fast-paced, agile environments

Strategic thinking and solution-oriented mindset

📌 AI/ML Developer (Ciudad de México)
🏢 Valce Talent Solutions
📍 Ciudad de México