Building AI products for leading enterprises.
Lead Platform AI Engineer
Location
United States
Posted
4 days ago
Salary
Not specified
Job Description
About Tribe AI:
At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity.
We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.
About the Role
As an experienced Lead AI Engineer on our Platform Team you will be responsible for supporting our project teams with our internal platform/foundation code to accelerate their ability to deliver projects faster and at a higher quality. You will be the bridge between our sales teams, project teams, and our foundational codebase, ensuring that we maintain high margins while delivering excellent work to our clients.
Key Responsibilities:
Platform Development & Support
Maintain, enhance, and expand our foundational codebase ("Foundry") that serves as reusable building blocks for project teams
Support project teams in effectively utilizing our platform components, helping them achieve 50-70% reuse of existing code
Identify opportunities to incorporate successful project implementations back into the platform for future reuse
Proactively address bugs, performance issues, and feature gaps in the platform
Training & Enablement
Reduce barriers to productivity by creating training materials and documentation for platform components
Design and implement onboarding processes to help team members become productive with the codebase quickly
Provide hands-on support through pairing sessions and code reviews with project teams
Cross-functional Collaboration
Work closely with sales teams to understand upcoming project requirements and advise on platform capabilities and impact
Collaborate with project teams throughout the delivery lifecycle to understand what's working and what needs improvement
About You:
5+ years of experience building production-level AI solutions
Strong experience designing and implementing reusable systems, modules, and components
Hands-on experience with modern AI/ML technologies, including LLMs, RAG, and agent systems
Experience supporting and mentoring other engineers in technical implementation
Strong communication skills with the ability to explain complex technical concepts to diverse audiences
Experience working in a consulting or services environment with client-deployed solutions
Proven ability to balance technical excellence with practical business outcomes
Experience working with distributed teams across multiple projects
Why Join Us:
Strategic Impact: Drive platform development that directly influences company profitability and project quality
Technical Excellence: Build reusable AI components that solve diverse challenges across multiple client engagements
Engineering Leadership: Become a trusted technical advisor helping teams leverage your platform expertise
Cross-Project Exposure: Gain insights from diverse AI implementations that inform platform improvements
Innovation-First Environment: Join a culture where creative problem-solving and continuous improvement are core to our DNA
Professional Growth: Accelerate your career in a high-growth environment balancing hands-on engineering with strategic leadership
Related Guides
Related Job Pages
More AI Engineer Jobs
AI & Automation Engineer, Endpoint Systems
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI & Automation Engineer, Endpoint Systems in the United States. In this hands-on engineering role, you will design and optimize modern endpoint environments using automation and ...
The role involves building, running, and debugging LLM applications on top of Concentrate, focusing on production workloads and stress testing the platform. Key tasks include building LLM-powered services and designing reliable interactions with various LLMs, including prompt engineering and tool calling.
The role involves building and maintaining the 'glue' connecting AI models with internal tools, focusing on rapid prototyping of 80% solutions within hours or days. Responsibilities also include proactively identifying and automating tasks that are not worth human time and handling complex technical queries for leadership.
AI Developer
SeedTrustAt Orchid Software Solutions, we strive to provide exceptional software to improve the assisted reproduction technology industry through tailored applications designed to increase efficiencies and transparency for the industry as a whole.
The developer will architect, build, and deploy RAG pipelines, conversational AI features, and knowledge-retrieval systems integrated into a TypeScript ecosystem. Responsibilities include creating robust APIs, integrating cloud AI services, and optimizing AI features for performance and scalability.