Senior Artificial Intelligence; AI) Developer
Listed on 2026-10-30
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.
This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered.
Nexaminds is looking for a Senior AI Developer to join our team and design, build, and deploy AI and machine learning solutions that drive business transformation. The ideal candidate has strong hands-on experience with Python, ML libraries, LLM APIs, RAG, and AI agent frameworks, with proven experience delivering production-quality AI solutions.
This role focuses on developing AI-powered features, automation workflows, and data-driven applications that improve operational efficiency and enhance the client and employee experience. The successful candidate will collaborate closely with product, data, and business teams, writing clean, maintainable code and contributing to engineering best practices.
Location:
MEXICO (Remote)
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field (preferred, not required).
- 4+ years of software development experience, with at least 2 years focused on applied AI/ML engineering.
- Strong proficiency in Python and experience with ML libraries such as Scikit-learn, PyTorch, Tensor Flow, or Hugging Face Transformers.
- Hands-on experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering techniques.
- Experience building RAG pipelines, vector search integrations (Pinecone, pgvector, Weaviate), or AI agent frameworks (Lang Chain, Llama Index, or equivalent).
- Familiarity with cloud AI/ML services on Azure, AWS, or GCP (Azure Machine Learning, Sage Maker, or Vertex AI).
- Working knowledge of RESTful API development, containerization (Docker), and CI/CD pipelines.
- Solid understanding of data fundamentals, including SQL, data wrangling, and feature engineering.
- Strong problem-solving, rapid prototyping, and cross-functional communication skills.
- Experience in HR technology, PEO, or regulated industries.
- Experience building with the n8n orchestration platform.
- Relevant certifications such as AWS Machine Learning, Azure AI Engineer, or Google ML Engineer.
- Design, develop, test, and deploy AI/ML models and applications, including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
- Build and integrate LLM-powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic, implementing RAG patterns and AI agent workflows.
- Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
- Integrate AI solutions into existing enterprise platforms and APIs, ensuring reliable, secure, and performant deployment.
- Write well-structured, tested, and documented Python code, and participate in peer code reviews.
- Collaborate with business analysts and stakeholders to translate requirements into AI use cases, and participate in Agile sprint ceremonies.
- Monitor deployed models and pipelines in production, diagnose performance issues, and implement improvements.
- Conduct research and rapid prototyping to evaluate new AI…
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