AI Engineering Lead

Blend360; Región Centro; Presencial; MXN 1.409.443 - 2.114.164; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications in AWS, Databricks, and Snowflake

Access to AI learning paths

Study plans and additional certifications

Access to Udemy Business

English lessons

Travel opportunities for conferences

Career development and mentorship programs

Special day rewards

Company-provided equipment

Flexible working options

Descripción de la vacante

Blend360 is seeking an AI Engineer Lead in Guadalajara, Mexico, to drive the design and production deployment of AI solutions. The role involves leading technical direction on generative AI systems, collaborating with various teams, and mentoring engineers.

Candidates should have a strong background in computer science or engineering, with expertise in LLM architectures and hands-on production deployment experience. Join us to shape the next level of AI innovation!

Formación

• Strong expertise in transformer‑based models and LLM architectures.
• Proven experience designing and deploying applied machine learning systems.
• Hands-on experience with LLM frameworks and production-grade coding practices.

Responsabilidades

• Architect and implement AI solutions leveraging LLMs.
• Collaborate with cross-functional teams on AI solutions.
• Mentor junior engineers ensuring code quality standards.

Conocimientos

LLM frameworks expertise

Python proficiency

Leadership skills

Collaboration and communication skills

Educación

Degree in Computer Science, Data Science, or Engineering

Herramientas

LangChain

OpenAI API

Docker

CI/CD

AWS

Azure

GCP

Descripción del empleo

We are seeking an AI Engineer Lead to contribute to our next level of growth and expansion.

What is this position about?

We are looking for our first AI Engineer Lead for our Guadalajara, Mexico office, to drive the design, architecture, and production deployment of advanced Generative AI solutions. This role will be responsible for leading the technical direction of LLM-based systems, agentic workflows, and applied AI initiatives, while collaborating closely with Engineering, Product, and ML Ops teams. The role requires strong hands‑on expertise combined with technical leadership capabilities.

Job Description

Architect and lead the implementation of production‑grade AI solutions leveraging LLMs, transformer‑based models, RAG pipelines, and agentic systems.

Design, develop, and optimize multi‑step AI agents capable of tool/API invocation, reasoning chains, and state management.

Oversee the deployment of AI‑powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost‑efficiency.

Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).

Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.

Collaborate cross‑functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership.

Mentor and guide junior and mid‑level engineers, ensuring high‑quality, modular, and maintainable Python code standards.

Drive experimentation strategies, define KPIs, and promote data‑driven decision‑making across AI initiatives.

Qualifications

Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).

Strong expertise in transformer‑based models and LLM architectures.

Proven experience designing and deploying applied machine learning or generative AI systems to production environments.

Hands‑on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.

Advanced proficiency in Python and production‑grade coding practices.

Experience with containerization, CI/CD pipelines, versioning, and cloud‑native architectures.

Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment.

Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering.

Benefits

In addition to competitive pay, we offer the following benefits:

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and development: career development plans and mentorship programs to help shape your path.
• Celebrations and support: special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• Company‑provided equipment.
• Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.