T

TensorOps

Enterprise AI deployments and MLOps consulting

AI Developer Advocate

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote in PortugalNo salary listed

About the Job

Requirements

  • Professionally built and shipped software, with the ability to write code, debug problems, and explain architectural trade-offs.
  • Ability to independently build AI applications and discuss their limitations, architecture, and practical challenges.
  • Ability to teach technical audiences in English and Portuguese.
  • Experience building or helping grow a technical community, meetup series, or open-source project, and the ability to explain personal ownership, participation growth, and community development.
  • Ability to take an idea from topic selection through demo creation, content, and event delivery.

Responsibilities

  • Develop relationships with developers, speakers, organizers, and partners; run recurring meetups and workshops; grow repeat participation; and help members become contributors, speakers, and organizers.
  • Turn technical projects, architectural decisions, and lessons learned into clear articles, tutorials, and talks while respecting client confidentiality.
  • Create working AI demos and lead practical sessions explaining implementation choices and trade-offs.
  • Speak at conferences, participate in relevant communities, and bring useful feedback into the team.
  • Own and grow the AI developer community through hands-on engineering, technical content, workshops, and relationship building that turns newcomers into regular participants and contributors.

Desired Qualifications

  • Previous developer relations experience is welcome.
  • Knowledge of additional languages is a plus.

About the Company

TensorOps

Enterprise AI deployments and MLOps consulting

TensorOps helps large and mid-size companies deploy AI by supplying skilled professionals to augment existing teams or form new ones. Its services span MLOps, time series forecasting, search relevance, and language models, supported by consulting and long-term partnerships. The company also provides educational content like webinars and articles to share best practices. How it works: it starts by assessing the client’s AI adoption stage, then tailors hands-on solutions based on extensive experience, delivering project-based work or permanent team augmentation. How it stands out: its methodical, stage-based approach combined with practical, enterprise-focused execution and a track record of long-term partnerships differentiate it from competitors that offer generic tools. The goal is to help enterprises successfully adopt and scale AI, optimize AI strategies, and implement effective AI systems with faster time-to-value.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Nicosia Municipality, Cyprus
Founded
2022

Recently Posted Jobs

Explore more opportunities at TensorOps

See more jobs