
FlexAI delivers Workload as a Service (WaaS), ensuring AI workloads run optimally—anytime, anywhere. Our intelligent orchestration eliminates inefficiencies by dynamically placing workloads on the best compute without vendor lock-in. With FlexAI, businesses accelerate AI training, fine-tuning, and inference while reducing costs and complexity.

FlexAI delivers Workload as a Service (WaaS), ensuring AI workloads run optimally—anytime, anywhere. Our intelligent orchestration eliminates inefficiencies by dynamically placing workloads on the best compute without vendor lock-in. With FlexAI, businesses accelerate AI training, fine-tuning, and inference while reducing costs and complexity.
What they do: Workload-as-a-Service (WaaS) orchestration for AI training, fine-tuning, and inference across cloud, on-prem and hybrid environments
HQ: Paris, France
Founders / leadership: Brijesh Tripathi (Co-founder & CEO), Dali Kilani (Co-founder & CTO)
Funding: Seed — €28.5M (~$30M) announced April 2024
Employee size: Approximately 61 employees
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AI infrastructure orchestration and optimization for GPU-backed workloads
2023
Technology, Information and Internet
€28.5M (~$30M)
Seed announced at exit from stealth; multiple participating investors reported
“Seed led by specialized AI and European VCs (Alpha Intelligence Capital, Elaia Partners, Heartcore Capital)”
Company Description
FlexAI specializes in delivering Workload as a Service (WaaS), ensuring optimal performance for AI workloads across any environment. Our intelligent orchestration system dynamically places workloads on the best compute resources, eliminating inefficiencies and avoiding vendor lock-in. FlexAI enables businesses to accelerate AI training, fine-tuning, and inference processes while reducing operational costs and complexities. As a pioneering leader in AI workload management, we are committed to driving innovation and efficiency for organizations worldwide.
Role Description
This is a full-time on-site role for a Senior DevOps Engineer based in Bengaluru South. The Senior DevOps Engineer will be responsible for designing, implementing, and maintaining infrastructure solutions to support AI workload management. Key responsibilities include automating deployment processes, ensuring system reliability and scalability, monitoring performance, and collaborating with development teams to optimize software delivery workflows. Additionally, the role involves identifying and resolving technical challenges, staying informed about emerging technologies, and improving operational efficiency.
Qualifications