Flexspring

Software Engineer

• Collaborate with a group of technological experts to explore AI opportunities and apply business logic to create scalable and maintainable solutions
• Use a low-code AI studio to design, train, and refine AI models
• Translate business requirements into effective AI workflows
• Customize and configure pre-built AI components to fit project needs
• Organize, preprocess, and manage datasets to optimize AI training
• Implement strategies for cleaning, augmenting, and validating data
• Collaborate with the team to identify and source data for specific use cases
• Maintain thorough documentation of development processes and decisions

AI Model Training and Deployment Developer – New Grad

Cloud Engineer

• Design and implement infrastructure for the complete AI lifecycle, including data pipelines, model training, experimentation, deployment, and monitoring
• Architect scalable solutions for AI workloads and automations
• Document and implement AI design patterns, including microservices, model serving architectures, and automations
• Design, build, and optimize infrastructure for large language models and workflow automations
• Select and design vector databases and embedding systems for RAG and semantic search applications
• Lead architecture, technology design, and deployment projects using appropriate methodologies to develop production-ready cloud solutions
• Supervise and validate project team members' work implementing AI-based solutions
• Support application/infrastructure solution architecture in AWS
• Design, migrate, and implement complex, robust, and cost-effective AWS and Flexspring cloud infrastructure solutions
• Establish cloud strategy focused on cost optimization, resource utilization, IAM, security posture, and governance
• Create architectural diagrams, project plans, technical documentation, and technology roadmaps; present designs in Architecture Review Board meetings
• Collaborate with IT security on security policies, standards, and guidelines
• Ensure cloud solutions follow security and compliance controls and company standards
• Maintain expert knowledge of commercial cloud platforms
• Train and mentor colleagues and distribute critical knowledge among team members
• Provide technical leadership and architectural support for secure, scalable cloud capabilities and third-party integrations
• Participate in hiring evaluations for cloud infrastructure team candidates
• Foster transparency, automation, continuous improvement, and technical excellence

Cloud Architect

Pre-sales Engineer

• Develop solutions and organize, plan, create, and deliver compelling proof-of-concept demonstrations
• Ensure solutions stated in Statements of Work follow best practices and align with client requirements
• Work closely with Sales to support successful sales process closure
• Liaise with Support, Success, and Delivery departments to provide client feedback on product requirements

AI Model Training and Deployment Developer – New Grad

Cloud Architect

Pre-Sales Solutions Consultant – SaaS