Vista
B2B • eCommerce • Design/UX
Vista is a remote-first company dedicated to empowering small businesses by providing exceptional services in technology, design, marketing, and customer care. With a global workforce of over 6,500 team members across 17 countries, Vista emphasizes collaboration, inclusivity, and sustainability. Their commitment to innovation enables small businesses to thrive, while the company's culture fosters personal and professional growth for its employees.
5001 - 10000 employees
Founded 1995
🤝 B2B
🛍️ eCommerce
💰 $40M Venture Round on 2003-07
Principal Software Engineer – AI Platform Team
November 9
Vista
B2B • eCommerce • Design/UX
Vista is a remote-first company dedicated to empowering small businesses by providing exceptional services in technology, design, marketing, and customer care. With a global workforce of over 6,500 team members across 17 countries, Vista emphasizes collaboration, inclusivity, and sustainability. Their commitment to innovation enables small businesses to thrive, while the company's culture fosters personal and professional growth for its employees.
5001 - 10000 employees
Founded 1995
🤝 B2B
🛍️ eCommerce
💰 $40M Venture Round on 2003-07
📋 Description
• Lead a newly formed team of AI Engineers driving strategic design, adoption and implementation of large scale GenAI initiatives • Build and scale reusable platform components like AI Gateways, python and typescript SDKs, MCP capabilities, RAG pipelines, LLM frameworks, vector databases and other primitives • Create and influence engineering wide standards for GenAI • Partner with existing Engineering teams to help drive adoption • Build and launch reusable automation workflow capabilities company wide
🎯 Requirements
• 8+ Years of experience building web based application in Python, Node, Typescript, or GO at scale in production • Proven expertise in developing and scaling GenAI applications in production using modern frameworks similar to LlamaIndex or Langraph • A strong understanding of the advantages and limitations of different LLM models and providers • Deep understanding of GenAI primitives like vector databases, memory, semantic search, hybrid search, agentic workflows and patterns, MCP, A2A • Ability to drive a long term technical roadmap, establish standards and evangelize those standards • Knowledge of how to build, scale and deploy applications in AWS using systems like ECS, Fargate and EKS, ideally with IaC • Experience integrating the AWS Bedrock ecosystem of tools into GenAI applications like Bedrock, Guardrails, Evaluations and Agents • Strong communication skills and ability to partner with other Engineering leaders
🏖️ Benefits
• Flexible work arrangements • Health insurance • Professional development
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