Technical Lead, AI Systems

Jobtailor; São Paulo; Presencial; BRL 350 000 - 500 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo, Brazil, seeks a Senior AI Lead to drive technical direction for AI initiatives and mentor the team. You will shape model architectures, pipelines, and serving infra, while aligning with business goals and product roadmaps.

You will evaluate frameworks like PyTorch/TensorFlow, manage MLOps tooling, and collaborate with cloud platforms across AWS/Azure/GCP. Strong English and a passion for AI innovation are essential.

Qualificações

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 7+ years of software development, with 3+ years AI/ML in production.
• Proficiency in Python and ML frameworks (PyTorch/TensorFlow/scikit-learn).
• Strong LLMs, fine-tuning, prompt engineering, and RAG knowledge.
• Experience with MLOps (MLflow/Kubeflow/Airflow) and CI/CD for models.
• Experience with AWS, Azure, or GCP and GPU infrastructure.
• Technical leadership and mentoring capabilities.
• Advanced English for technical communication with partners.
• Graduate degree in AI/ML preferred; open-source contributions noted.

Responsabilidades

• Provide technical leadership to the AI team.
• Define and evolve AI solution architecture including models and pipelines.
• Conduct code reviews, pair programming, and mentoring.
• Evaluate AI/ML frameworks, platforms, and services including LLMs and MLOps.
• Translate business requirements into scalable technical solutions.
• Ensure quality, automated testing, and observability for production models.
• Participate in AI product roadmap decisions with leadership.
• Keep documentation up to date and promote engineering culture.
• Coordinate with infra, data, and product teams for integrated solutions.

Conhecimentos

Technical Leadership

Architecture Design

Mentoring

Code Reviews

Pair Programming

English Proficiency

Problem Solving

Formação académica

Bachelor's degree in CS/Engineering

Graduate/Master’s in AI/ML

Ferramentas

PyTorch

TensorFlow

scikit-learn

LangChain

LlamaIndex

AI agent frameworks

MLflow

Kubeflow

Airflow

AWS

Azure

GCP

Descrição da oferta de emprego

• Provide technical leadership to the AI team
• Define and evolve the architecture of AI solutions, including models, pipelines, and serving infrastructure
• Conduct code reviews, pair programming, and mentoring
• Evaluate and select AI/ML frameworks, platforms, and services, including LLMs, RAG, agents, and MLOps
• Translate business requirements into viable, scalable technical solutions
• Ensure quality standards, automated testing, and observability for models in production
• Participate in strategic AI product roadmap decisions with leadership
• Keep technical documentation up to date and promote an engineering culture within the team
• Coordinate with infrastructure, data, and product teams to deliver integrated solutions

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7 years of software development experience, including 3 years working with AI/ML in production
• Advanced proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Strong experience with LLMs, fine-tuning, prompt engineering, and RAG architectures
• Experience with MLOps (MLflow, Kubeflow, Airflow) and CI/CD for models
• Experience with cloud platforms (AWS, Azure, or GCP) and GPU infrastructure
• Demonstrated ability to provide technical leadership and mentor teams
• Advanced English proficiency (technical reading and communication with international partners)
• Graduate degree or master’s degree in AI, ML, or a related field
• Contributions to AI open-source projects
• Cloud certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer)
• Experience with LangChain, LlamaIndex, or AI agent frameworks
• AI-related publications or speaking engagements

Core Competencies

Demonstrates advanced proficiency in Python and AI/ML frameworks, with a strong focus on LLMs, MLOps, and cloud platforms. Provides technical leadership and mentorship while ensuring quality standards and effective collaboration across teams.

Highest-signal resume keywords

• Technical Leadership
• Python Proficiency
• AI/ML Frameworks
• MLOps Experience
• Cloud Platform Expertise