AIML developer R

Brillio

Job Location:

Guadalajara - Mexico

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Software Development Engineer

Job requirements

We are seeking a highly skilled AI/ML Engineer to design develop and deploy cutting-edge artificial intelligence and machine learning solutions with a strong focus on Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have hands-on experience building scalable pipelines for unstructured data optimizing semantic retrieval and working with modern large language models (LLMs). This role requires collaboration with cross-functional teams to deliver high-impact production-ready AI solutions.
Key Responsibilities:
Design develop and deploy advanced AI/ML and RAG-based solutions.
Build and maintain custom RAG systems leveraging internal data sources.
Develop robust data pipelines for processing and managing unstructured content.
Optimize semantic search and retrieval performance using embeddings and vector databases.
Evaluate model performance using key quality metrics and continuously improve system accuracy.
Collaborate with cross-functional teams to design and deploy agentic RAG solutions.
Work with leading large language models (LLMs) and conduct experiments to enhance performance.
Stay up to date with the latest advancements in AI/ML NLP and generative AI technologies.
Develop and maintain RESTful APIs for AI services.
Required Technical Skills:
Programming: Strong proficiency in Python including libraries such as NumPy and Pandas; solid SQL skills.
Frameworks & Libraries: FastAPI Uvicorn (ASGI Server) Pydantic Pydantic-Settings LangChain Hugging Face Transformers.
Machine Learning/NLP: Deep Learning Natural Language Processing (NLP) text embeddings semantic search and model evaluation techniques.
Vector Databases: Experience with pgVector.
Testing: Experience with pytest (v8.4.1 or similar).
Deployment & DevOps: Docker OpenShift Jenkins (CI/CD pipelines).
Tools & Practices: Git RESTful API development and version control best practices.
Preferred Qualifications:
Experience working with agentic AI systems or autonomous workflows.
Familiarity with scalable architecture for AI systems in production.
Strong problem-solving skills and ability to work in a collaborative environment.
Soft Skills:
Strong communication and teamwork skills.
Ability to manage multiple priorities in a fast-paced environment.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior Software Development EngineerJob requirementsWe are seeking a highly skilled AI/ML Engineer to design develop and deploy cutting-edge artificial intelligence and machine learning solutions with a strong focus on Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have hands...

Senior Software Development Engineer

Job requirements

We are seeking a highly skilled AI/ML Engineer to design develop and deploy cutting-edge artificial intelligence and machine learning solutions with a strong focus on Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have hands-on experience building scalable pipelines for unstructured data optimizing semantic retrieval and working with modern large language models (LLMs). This role requires collaboration with cross-functional teams to deliver high-impact production-ready AI solutions.
Key Responsibilities:
Design develop and deploy advanced AI/ML and RAG-based solutions.
Build and maintain custom RAG systems leveraging internal data sources.
Develop robust data pipelines for processing and managing unstructured content.
Optimize semantic search and retrieval performance using embeddings and vector databases.
Evaluate model performance using key quality metrics and continuously improve system accuracy.
Collaborate with cross-functional teams to design and deploy agentic RAG solutions.
Work with leading large language models (LLMs) and conduct experiments to enhance performance.
Stay up to date with the latest advancements in AI/ML NLP and generative AI technologies.
Develop and maintain RESTful APIs for AI services.
Required Technical Skills:
Programming: Strong proficiency in Python including libraries such as NumPy and Pandas; solid SQL skills.
Frameworks & Libraries: FastAPI Uvicorn (ASGI Server) Pydantic Pydantic-Settings LangChain Hugging Face Transformers.
Machine Learning/NLP: Deep Learning Natural Language Processing (NLP) text embeddings semantic search and model evaluation techniques.
Vector Databases: Experience with pgVector.
Testing: Experience with pytest (v8.4.1 or similar).
Deployment & DevOps: Docker OpenShift Jenkins (CI/CD pipelines).
Tools & Practices: Git RESTful API development and version control best practices.
Preferred Qualifications:
Experience working with agentic AI systems or autonomous workflows.
Familiarity with scalable architecture for AI systems in production.
Strong problem-solving skills and ability to work in a collaborative environment.
Soft Skills:
Strong communication and teamwork skills.
Ability to manage multiple priorities in a fast-paced environment.

Required Experience:

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About Company

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.

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