Novisto
AIBuilder
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Builder at Novisto. Skills: AI Builder, Data pipelines, LLM integrations, Production AI. Build data pipelines. Move data”
Industry & Context.
Drive problems to resolution
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, equivalent practical experience, 2–5 years of experience in software engineering, demonstrated ownership of production systems end-to-end, Solid full-stack engineering fundamentals, backend services experience, relational databases experience, document databases experience, REST integrations experience, webhook integrations experience, async patterns experience, cloud deployment experience, Hands-on experience building data pipelines, Hands-on experience maintaining data pipelines, Hands-on experience system integrations in production, Practical experience with LLM-based systems in production, experience with RAG pipelines, experience with agentic workflows, experience with LLM integrations, sound judgment on when AI adds value
Nice to Have
Experience in ESG environments, Experience in sustainability environments, Experience in SaaS environments, Familiarity with Google Cloud Platform, Familiarity with Vertex AI, Familiarity with Cloud Run, Experience with MCP protocol, Experience with tool-integration patterns
What You'll Do.
Connect enterprise tools
Build production-ready AI applications
Deploy production-ready AI applications
Contribute to infrastructure decisions
Contribute to data storage decisions
Contribute to service architecture decisions
Contribute to deployment patterns decisions
Ensure solutions meet production standards
Ensure security standards
Ensure access controls standards
Ensure responsible AI usage standards
Ensure ongoing maintainability standards
How You'll Work.
Team & Collaboration
Work with non-technical stakeholders
Full Job Description
Novisto is on a journey to become an AI-first organization. We believe artificial intelligence will reshape the workplace by automating repetitive tasks and enabling teams to focus on higher-value, strategic work. The AI Builder will report to the Director, IT, Security build data pipelines that move, transform, and prepare data from internal systems for use in AI. - Build and maintain MCP servers that connect enterprise tools to the internal AI platform. - Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale. - Contribute to foundational infrastructure decisions, data storage, service architecture, deployment patterns as the company's internal AI platform matures on Google Vertex AI. - Ensure solutions meet production standards for security, access controls, responsible AI usage, and ongoing maintainability. Job Requirements - Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience. - 2–5 years of experience in software engineering roles, with demonstrated ownership of production systems end-to-end. - Solid full-stack engineering fundamentals — backend services, relational and document databases, REST and webhook integrations, async patterns, and cloud deployment (GCP preferred). - Hands-on experience building and maintaining data pipelines and system integrations in production environments, not just application-layer prototypes. - Practical experience with LLM-based systems in production — including RAG pipelines, agentic workflows, and LLM integrations — and sound judgment on when AI adds value over conventional approaches. - Experience with agentic frameworks and tool-integration protocols — such as LangChain, LangGraph, Google ADK, or MCP (Model Context Protocol) servers. - Curious, self-directed, and biased toward action — able to work directly with non-technical stakeholders, move fast in am
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