AI Stack Engineer - Delivery (Confirmed/Senior)
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Join FlexAI:Â
FlexAI is at the forefront of revolutionizing AI computing by reengineering infrastructure at the system level. Our groundbreaking architecture, combined with sophisticated software intelligence, abstraction, and an orchestration layer, allows developers to leverage a diverse array of compute, resulting in efficient, more reliable computing at a fraction of the cost. We are seeking a skilled and experienced AI Stack Engineer.Â
Founded by Brijesh Tripathi and Dali Kilani, who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.
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Position Overview:
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FlexAI is seeking a detail-oriented and highly skilled AI Stack Engineer (Delivery) to help ensure the successful deployment and delivery of our AI software stack, FlexAI Stack, into production environments. As part of this role, you will work closely with teams focused on packaging, releasing, and maintaining the AI stack, ensuring it is production-ready, scalable, and meets the highest standards of performance and security. Unlike the features-focused AI Stack Engineers, this role will focus heavily on the operational and release aspects of our AI stack, ensuring seamless integration and reliability across various deployment environments.
What You’ll Do
Manage AI Stack Releases: Package, release, and maintain the FlexAI Stack for production environments, ensuring high-quality, secure, and efficient deployments.
Optimize Production Environments: Work closely with DevOps and infrastructure teams to manage the stack’s deployment process and ensure scalability and performance for customer environments.
Maintain Deployment Tools: Develop and maintain deployment tools and pipelines for the FlexAI Stack, focusing on reliability and consistency in production settings.
Support System Stability: Ensure that the AI stack meets high standards of operational stability and performance, and proactively address issues that arise during production deployment.
Documentation & Best Practices: Create detailed documentation and guidelines for operating the FlexAI Stack in production, ensuring customers and internal teams have a clear understanding of best practices for deployment and maintenance.
Collaborate Across Teams: Work closely with feature-focused AI engineers, operations teams, and product management to ensure that the FlexAI Stack integrates smoothly into various environments and meets customer needs.
Continuous Improvement: Actively look for opportunities to automate and optimize delivery processes to improve efficiency and reduce manual intervention.
What You’ll Need to Be Successful
5+ years of experience in software engineering, DevOps, or system engineering with a focus on operational deployment and delivery of large-scale distributed systems.
Strong experience in CI/CD pipelines, release management, and deployment processes for AI stacks or distributed computing environments.
Proficiency in Linux environments and strong knowledge of containerization (Docker, Kubernetes) and orchestration tools.
Experience with bare-metal infrastructure, Linux kernels, drivers, and hands-on expertise in system administration.
Proficiency in programming languages such as Python, Go, or C/C++, with an emphasis on building tools and automating deployment workflows.
Proven ability to collaborate cross-functionally with product, engineering, and operations teams to deliver high-quality, scalable solutions.
Strong problem-solving skills and attention to detail in managing system stability and ensuring seamless deployment.
Excellent communication skills with the ability to create clear technical documentation and deployment guidelines.
Bonus Points
Experience working with PyTorch or similar deep learning frameworks in an operational capacity.
Familiarity with AI model deployment, high-performance computing (HPC) environments, and model runtime optimization.
Previous experience in a startup or high-growth tech company with a focus on scaling operations and delivery.
What we offer:
- A competitive salary and benefits package, tailored to recognize your dedication and contributions.
- The opportunity to collaborate with leading experts in AI and cloud computing, learning from the best and the brightest, fostering continuous growth.
- An environment that values innovation, collaboration, and mutual respect.
- Support for personal and professional development, empowering you with the tools and resources to elevate your skills and leave a lasting impact.
- A pivotal role in the AI revolution, shaping the technologies that power the innovations of tomorrow.
Offices :
Our teams are strategically distributed across three continents—Europe, North America, and Asia—united by a shared mission: to deliver more compute with less complexity.
- Paris - HQ
- San Francisco (Bay Area) - US office
- Bangalore - India office
Apply NOW!
You’ve seen what this role entails. Now we want to hear from you! Does this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary!
At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely you.
- Department
- R&D SW
- Role
- AI Stack Engineer
- Locations
- Paris
- Remote status
- Hybrid
- Employment type
- Full-time
AI Stack Engineer - Delivery (Confirmed/Senior)
Join us ! 🚀
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