Presales Engineer; AI​/Cloud Infrastructure

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 Presales Engineer to be the technical bridge between our cutting-edge AI infrastructure solutions and our customers. This role plays a crucial part in ensuring successful AI workload deployments, supporting both RTM1 (Partners - OEMs and Hyperscalers) and RTM2 (CSPs and Direct Enterprise Customers) by leading technical engagements, optimizing AI models, and driving Proof of Concept (PoC) success.

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.

If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !

As a Presales Engineer, you will play a critical role in guiding customers through AI workload deployment, fine-tuning, training, and inferencing across cloud and on-prem infrastructures. This role demands a strong blend of technical expertise, customer engagement skills, and hands-on AI deployment experience to ensure successful AI implementations at scale.

Solution Architecture & Customer Advisory

• Lead technical discussions with customers to design AI, ML, and HPC workloads for cloud and on-prem deployment.

• Guide clients on best practices for AI workload scaling, fine-tuning, and inferencing.

• Collaborate with Sales, Product, and Engineering teams to ensure seamless customer onboarding.

Technical Sales Enablement

• Conduct live product demos, technical deep dives, and workshops to showcase FlexAI’s capabilities.

• Work closely with account teams to develop customized AI infrastructure solutions.

• Act as a trusted advisor to customers, helping them optimize AI workloads for performance and cost-efficiency.

Proof of Concept (PoC) Execution

• Own the end-to-end PoC process, ensuring successful trials that demonstrate measurable value.

• Optimize GPU utilization, AI training pipelines, and inferencing performance based on customer needs.

• Document best practices and lessons learned from PoCs to enhance future implementations.

Collaboration & Continuous Improvement

• Provide real-time feedback to Product and Engineering teams on customer pain points and feature requests.

• Stay ahead of AI infrastructure trends, recommending innovations for scalability, efficiency, and cost reduction.

• Support cross-functional training for Sales, Customer Success, and Solution Architects.

What you’ll need to be successful:

Experience & Qualifications

• 5+ years in Presales, Solutions Engineering, or Technical Sales within AI, HPC, or Cloud Infrastructure.

• Deep technical expertise in AI model training, fine-tuning, and inferencing, with hands-on experience in GPU acceleration, Kubernetes, Terraform, and CI/CD pipelines.

• Proven experience deploying AI workloads on AWS, Azure, GCP, and hybrid on-prem environments.

• Strong customer-facing communication skills, with the ability to explain technical concepts to both executives and engineers.

Preferred Competencies

• Certifications in AWS Solutions Architect, Google Cloud ML Engineer, or Kubernetes (CKA) are a plus.

• Experience working with AI frameworks (Tensor Flow, PyTorch, JAX, Triton Inference Server).

• Familiarity with high-performance computing (HPC), distributed AI training (Horovod, Deep Speed, FSDP).