Senior Software Engineer - AI Solutions

Contextual.io partners with clients to deliver cutting-edge AI solutions that transform tasks, processes and operations with a focus on scale and ROI. The Senior Software Engineer - AI Solutions will take real client business challenges and turn them into deployed, working AI solutions on the Contextual.io platform.

Responsibilities:

• Orchestrate agents. Ship AI. Build things that matter
• AI-powered workflows that automate back-office processes, decision flows, and multi-step operations for real enterprise clients inside our low-code platform
• Custom integrations connecting Contextual.io to CRMs, ERPs, and enterprise APIs—making data flow where it needs to go
• Agentic pipelines and automation logic using AI coding agents, platform scripting, and API orchestration
• Scalable, documented solutions clients can own and operate after handoff
• Proofs of concept that turn vague business needs into shippable, demonstrable AI solutions—quickly

Requirements:

• 5+ years in application development, automation, or solution delivery—or a shorter track record with demonstrably high impact
• Hands-on experience building and deploying solutions on at least one major low-code/no-code platform (Power Platform, N8n, OutSystems, Retool, Bubble, or similar)
• Active, daily use of AI coding agents (Cursor, Claude Code, Copilot, or similar)—this isn't a nice-to-have, it's how we build
• Demonstrated ability to orchestrate multi-step AI workflows, not just call a single API
• Ability to take user stories and business requirements and translate them directly into working solutions
• Demonstrated ability to decompose tasks from requirements and assist junior engineers with those tasks
• Experience with REST APIs and integrating applications with external enterprise systems
• Enough scripting fluency (JavaScript, Python, or similar) to extend what agents produce and debug what they get wrong
• US-based; we are not able to sponsor employment visas at this time
• You've worked directly with LLM APIs (OpenAI, Anthropic, etc.) and integrated AI models into production workflows
• Experience with AI agent frameworks: LangChain, LangGraph, CrewAI, AutoGen, or similar
• You understand prompt engineering—you know how to get reliable, structured output from language models at scale
• Experience with RAG pipelines, multi-agent orchestration, or agentic system design patterns
• Familiarity with enterprise systems: CRM, ERP, data warehouses
• You've worked in fast-moving services or SaaS environments where shipping on time matters