Product & Engineering

At InSpace, we’re building NOVA: an AI platform that helps companies stay visible in a world where discovery increasingly happens through LLMs and AI platforms instead of traditional search engines. Our software combines strategy, content generation, technical optimization, publishing workflows, and performance data into one intelligent system.

As a Software Engineer at InSpace, you’ll work on AI-powered software, backend systems, workflow orchestration, integrations, and automation that power the next generation of AI-native marketing products. You’ll help build reliable systems that connect AI models, external platforms, customer data, and publishing workflows into scalable solutions.

We move fast, experiment often, and use AI throughout both our product and engineering workflows

We’re looking for a Software Engineer who combines strong technical execution with curiosity, ownership, and a passion for building reliable software. In this role, you’ll help expand and improve the core systems behind NOVA while growing your expertise across AI integrations, backend development, automation, and scalable platform engineering.

You’ll collaborate closely with Product, Engineering and Customer Success to translate customer needs into robust technical solutions. Beyond delivering features, you’ll contribute to engineering quality, and help improve how we build software in a fast-moving environment where learning, experimentation, and ownership are highly valued.

This is a role with direct impact on product functionality, platform reliability, engineering effectiveness, and the continued evolution of our AI software platform.

• Design, build, and improve software systems that power AI-driven marketing workflows across content generation, optimization, publishing, and reporting
• Build and maintain workflow automations using tools such as n8n and custom backend services
• Develop and maintain API integrations, webhooks, and external system connections
• Build AI-powered workflows using LLMs, prompt engineering, tool-calling, and orchestration frameworks
• Implement logging, monitoring, error handling, retries, and observability to improve platform reliability
• Evaluate and improve AI output through testing, guardrails, and continuous optimization
• Rapidly prototype new ideas and help transform successful experiments into stable production-ready solutions
• Use AI development tools such as Claude Code, Codex,, or similar tooling as part of your daily workflow
• Collaborate closely with Product, Engineering and Customer Success to identify opportunities and solve customer problems
• Perform code reviews, knowledge sharing, and helping each other grow
• Contribute to technical discussions by identifying trade-offs, risks, design considerations, and implementation approaches

• You have 4–6 years of experience as a Software Engineer, Full Stack Developer, Automation Engineer, or in a similar role.
• You have strong experience building software with Type Script and Python.
• You have hands‑on experience with APIs, webhooks, integrations, data flows, and distributed systems.
• You have experience with, or a strong interest in, building AI-powered applications and workflow automations.
• Experience with Lang Chain or similar LLM orchestration frameworks is a strong plus.
• You are familiar with Google Cloud Platform, or similar cloud environments, and understand how to build reliable, scalable services.
• Experience with n8n, workflow orchestration, SaaS integrations, marketing technology, SEO tooling, or automation platforms is a strong plus.
• You can independently scope, design, and deliver solutions within your team or product area.
• You take ownership of your work and consistently deliver…