
Artificial Intelligence Engineer
Diabetes Youth Families
full-time
Posted on:
Location Type: Office
Location: Guadalajara • Mexico
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About the role
- Develop and deploy AI applications leveraging LLMs and generative AI frameworks for real-world use cases
- Design and implement APIs for AI services, ensuring scalability, security, and performance
- Build retrieval-augmented generation (RAG) pipelines and integrate external knowledge bases for context-aware AI solutions
- Optimize and fine-tune LLMs for domain-specific tasks, including prompt engineering and model evaluation
- Implement AI inference pipelines for on-premise and cloud environments (Azure, AWS, GCP)
- Collaborate with product and engineering teams to integrate AI features into local and enterprise applications
- Monitor and improve model performance, latency, and reliability in production environments
- Stay current with emerging AI technologies and recommend best practices for adoption
- Clearly communicate findings and technical details to a broad audience, aligning with business objectives
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field
- At least 2 years of experience in AI/ML engineering, with hands-on experience in Machine Learning, LLMs and generative AI
- Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face Transformers, or OpenAI API
- Proven experience in API development (REST, GraphQL, FASTAPI) and microservices architecture
- Familiarity with vector databases for RAG implementations
- Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes)
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
AI applicationsLLMsgenerative AIAPI developmentMachine Learningprompt engineeringmodel evaluationRAG pipelinesvector databasesmicroservices architecture
Soft Skills
collaborationcommunicationproblem-solvingadaptability
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in AI/ML