
51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.
🕒 May 6
🇺🇸 United States – Remote
💵 $200k - $300k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷 Infrastructure Engineer
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51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.
• Get AI systems running inside client infrastructure — cloud, containers, CI/CD. • Navigate enterprise constraints: production readiness reviews, governance gates. • Debug what breaks in production: networking, DNS, connection pooling. • Set up observability, cost controls, and deployment pipelines. • Own the technical relationship with the client's IT, Infrastructure, and DevOps counterparts. • Get things done inside organizations where you control nothing and depend on everyone.
• Expert-level in at least one cloud platform — AWS, GCP, or Azure. • Strong hands-on experience with Kubernetes in production environments. • Productionized data science outputs, deployed ML models, or run AI applications at scale. • Deep production debugging experience: networking, DNS, latency, connection pooling. • Managed technical relationships directly with client IT or DevOps counterparts. • Background reads: production engineer, systems engineer, SRE, or platform engineer.
• Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises. • Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts. • Variety: Solve problems across industries, from finance to healthcare to defense. • Culture: Work in a team that prizes resilience, creativity, and winning over process. • Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
Apply Now🕒 May 6
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