About our company
Confie is the largest independent personal lines insurance agency and broker in the United States—serving customers nationwide. In 2010, we established our Shared Services Center in Tijuana, Baja California, creating a world-class operation built to efficiently support our customers, drive innovation, and develop exceptional talent. Since then, our Mexico operation has become a vital extension of our organization, strengthening the work that powers our U.S. business and elevating the experience of customers across all 50 states. Today, more than 1,800 team members—both on-site and remote—help fuel our success with a focus on quality, consistency, and operational excellence.
Our growth reflects a deep investment in technology, continuous improvement, and—most importantly—our people. We foster an inclusive, fast-paced, and collaborative culture where employees are encouraged to grow and build long-term careers with a company shaping the future of insurance.
Learn more at www.confiemx.com
Job Description
The Junior AI Engineer will support the design, development, and deployment of AI-powered products and features leveraging state-of-the-art AI engineering practices and Large Language Models (LLMs). This role is ideal for recent graduates or early-career engineers eager to work on production-grade AI systems. The Jr. AI Engineer will contribute to building APIs, integrations, and monitoring pipelines, and will work with cross-functional teams to deliver reliable and scalable AI solutions
Job Requirements
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Assist in developing and deploying production-ready LLM-based applications and features.
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Implement and maintain APIs for accessing and interacting with AI models.
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Integrate AI-powered solutions with existing systems and workflows.
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Support model evaluation, monitoring, and performance tuning.
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Research and experiment with state-of-the-art AI/ML techniques (transformers, RAG, vector databases, fine-tuning).
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Participate in code reviews, knowledge-sharing sessions, and agile ceremonies.
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Document processes, models, and integrations in a clear and maintainable way.
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Apply forward-deployed engineering (FDE) principles — working closely with end users, understanding operational constraints, and iterating quickly.
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Bachelors degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
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Advanced English Level
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1 year of professional experience in AI/ML engineering or software development (internships, academic projects, or open-source contributions accepted).
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Solid foundation in Python programming (required).
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Basic understanding of APIs and integration concepts (required).
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Familiarity with version control (Git) and collaborative development workflows.
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Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
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Interest in AI/ML concepts, especially Large Language Models (LLMs) and transformers.
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Awareness of tools like PyTorch, TensorFlow, LangChain, or Hugging Face (training will be provided).
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Willingness to learn about deployment practices, CI/CD, and model monitoring.
Language:
Experience:
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Python (required), Node.js or JavaScript (desirable).
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API development and integration.
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Git and version control workflows.
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Familiarity with CI/CD practices.
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Professional experience in AI/ML engineering or software development (internships, academic projects, or open-source contributions accepted).
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Competitive weekly salary
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Legal benefits
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Christmas bonus
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Savings fund
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Profit sharing (PTU)
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Vacation days
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Vacation premium
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Extra paid days off
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Private medical insurance and preventative care
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Friendly work environment
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Financing and discounts at local restaurants and coffee shops
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Growth opportunities
