Automatically capture business-critical sales documents from any format and turn them into accurate, ERP-ready data, at scale. Built for manufacturers and distributors with AI precision, rule-based control, and data-driven optimization, the Conexiom Order... Backed by ICONIQ.
About the role
Conexiom is evolving into an AI-first platform, eliminating the manual, error-prone commerce processes that slow manufacturers and distributors down. We're hiring a Senior Software Engineer to help design, build, and operate the customer-facing applications, intelligent services, and AI-powered workflows driving that shift. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years of professional software engineering experience, including hands-on production work with Node.js, TypeScript, and Python
- Working knowledge of software architecture, distributed systems, security, observability, and reliability sufficient to make sound tradeoffs under production constraints
- Hands-on, daily use of modern AI development tools (GitHub Copilot, Cursor, Claude Code, or similar) and experience integrating LLMs via APIs (OpenAI, Anthropic, Azure OpenAI, Google)
- Familiarity with agent frameworks, prompt engineering, retrieval patterns, and evaluation techniques
- Experience working in Agile software development environments
More about this role
Conexiom is evolving into an AI-first platform, eliminating the manual, error-prone commerce processes that slow manufacturers and distributors down. We're hiring a Senior Software Engineer to help design, build, and operate the customer-facing applications, intelligent services, and AI-powered workflows driving that shift. This isn't a traditional engineering role: you'll treat AI as a multiplier for both product capability and engineering productivity, applying modern AI models, agent frameworks, and retrieval-augmented generation (RAG) patterns to solve real business problems.
You'll own production services across our Node.js, TypeScript, Python, React, and Azure stack, working closely with Product Managers, Architects, Data Engineers, Designers, and fellow Software Engineers to ship scalable solutions for mission-critical processes at some of the world's leading manufacturers and distributors.
In year one, success looks like: shipping AI-enabled features that measurably improve customer workflows, establishing patterns and best practices for reliable, secure AI-powered applications that other engineers adopt, and becoming a go-to technical mentor who raises the AI fluency of...
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