Lead AI Engineer

October 11

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Vista

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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

• Work in 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 enabling teams to build GenAI applications at scale with great tooling • Support and work on engineering wide standards for GenAI, and partner with existing Engineering teams to help drive adoption • Build and launch reusable automation workflow capabilities company wide to drive transformation of GenAI adoption across all business functions

🎯 Requirements

• Proven expertise in developing GenAI applications using modern frameworks similar to LlamaIndex or Langraph that leverage various workflows like RAG, Multi-Agent or similar architectures • A strong understanding of the advantages and limitations of different LLM models and providers to help guide optimal integration to our applications • 5+ Years of experience building web based application in Python, Node, Typscript or Go at scale in production • Understanding of how to best apply GenAI primitives like vector databases, memory, semantic search, hybrid search, agentic workflows and patterns, MCP, A2A to GenAI Applications • Ability to work autonomously on complex technical problems and projects • Knowledge of how to build, scale and deploy applications in AWS using systems like ECS, Fargate and EKS, ideally with IaC • Strong communication skills and ability to partner with other Engineering leaders.

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities