Careers

Build AI systems that matter.

We are a small team of practitioners who work on hard problems at enterprise scale. We value expertise, intellectual honesty, and measurable impact.

Why Intelecta AI

What it means to work here

Work on hard problems

Enterprise AI at scale is genuinely difficult. We work on problems that matter and require real expertise to solve.

Client impact

Every engagement is measured against real business outcomes. You will see the impact of your work in concrete, measurable terms.

Intellectual rigor

We value honest assessment over optimistic projection. We expect our team to tell clients what is true, not what they want to hear.

Distributed by design

We are a remote-first organization. We hire the best people regardless of location and invest in the infrastructure to make distributed work effective.

Open Roles

Current openings

Senior Machine Learning Engineer

EngineeringFull-timeRemote (U.S.)
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Design, develop, and deploy production ML systems for enterprise clients. You will work across the full ML lifecycle — from data engineering and model development to production deployment and monitoring.

5+ years of ML engineering experienceStrong Python and MLOps skillsExperience with production ML deploymentEnterprise client experience preferred

AI Strategy Consultant

StrategyFull-timeRemote (U.S.)
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Work directly with executive stakeholders at enterprise clients to develop AI strategies, assess organizational readiness, and design implementation roadmaps.

7+ years of management consulting or enterprise technology experienceDeep understanding of enterprise AI landscapeStrong executive communication skillsDomain expertise in financial services, healthcare, or PE preferred

NLP Engineer

EngineeringFull-timeRemote (U.S.)
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Develop and deploy natural language processing systems for enterprise clients across document processing, information extraction, and conversational AI applications.

3+ years of NLP engineering experienceExperience with transformer models and fine-tuningProduction NLP deployment experienceHealthcare or financial services domain experience a plus

Data Engineer

EngineeringFull-timeRemote (U.S.)
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Design and build the data pipelines and infrastructure that power our AI systems. You will work across a variety of enterprise data environments and integration challenges.

4+ years of data engineering experienceStrong SQL and Python skillsExperience with cloud data platforms (AWS, Azure, GCP)Enterprise integration experience (ERP, CRM, core systems)

MLOps Engineer

EngineeringFull-timeRemote (U.S.)
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Build and maintain the infrastructure that enables reliable, scalable deployment of ML models in enterprise environments.

3+ years of MLOps or DevOps experienceExperience with ML platforms and model servingStrong Kubernetes and cloud infrastructure skillsExperience with model monitoring and governance
Don't see your role?

We hire exceptional people regardless of open roles.

If you are an exceptional ML engineer, data scientist, or AI strategist who wants to work on hard problems at enterprise scale, we want to hear from you.

Send a General Application
What we look for
  • Deep technical expertise in your domain
  • Track record of delivering in production environments
  • Ability to communicate complex ideas clearly
  • Intellectual honesty and rigorous thinking
  • Genuine interest in enterprise problem-solving