kadence
Artificial Intelligence Engineer
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Multiple Openings – AI Engineering Team
We are expanding our AI Engineering organization and are hiring across multiple technical disciplines. These roles will contribute to the development of next-generation AI-native enterprise products, intelligent integrations, and agentic software systems.
Open Positions
1. Senior Backend Engineer – Agentic Integrations
We're looking for an experienced backend engineer who enjoys building complex integrations, distributed systems, and AI-native services.
Required Experience
- Strong backend development experience using Go
- Experience delivering system-to-system (S2S) integrations
- Hands-on experience with orchestration/integration platforms such as:
- n8n or Temporal (preferred)
- MuleSoft, Apache Camel, or Boomi (also considered)
- Experience building multi-tenant SaaS platforms
- Experience developing AI-native applications
Preferred Experience
- Model Context Protocol (MCP) development
- API gateway technologies such as Kong, Tyk, or similar
- Designing API products and integration architectures
2. Full-Stack AI Engineer
We're seeking engineers who can build production-grade AI applications from frontend to backend while deploying scalable GenAI solutions into production.
Required Experience
- Production experience with Generative AI
- Building RAG (Retrieval-Augmented Generation) systems including:
- Hybrid retrieval
- Embeddings
- Knowledge retrieval pipelines
- Experience developing agentic AI systems, including:
- Agent orchestration
- Tool calling
- Multi-agent workflows
- Strong Python development experience
- Experience building and scaling AI-native products
- Cloud-native infrastructure experience including:
- Docker
- Kubernetes
- CI/CD pipelines
- Experience with AI tooling/frameworks such as:
- Pydantic AI
- LangChain
- MCP
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Preferred Experience
- Go development
- Optimizing AI services for latency, throughput, and infrastructure cost
3. AI-Native Full-Stack Software Engineer
We're looking for software engineers who are passionate about the future of AI-native software development and enjoy working with emerging technologies, agentic systems, and modern cloud-native architectures.
Required Experience
- Strong passion for AI-native software engineering and adopting new technologies
- Up-to-date knowledge of the latest developments in Generative AI
- Experience building agentic applications, including:
- Model Context Protocol (MCP)
- Planning-based agent architectures
- Go development experience
- Experience building multi-tenant SaaS applications
- Experience with cloud-native technologies including:
- Kubernetes
- Docker
- CNCF ecosystem
Preferred Experience
- Spec-driven development
- DevOps practices and cloud infrastructure
Leadership Opportunity
At least one of these hires will serve as a Technical Lead, providing technical direction, mentoring engineers, and helping define engineering standards and architecture across the team.
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What You'll Be Building
Project 1 & Project 2 – Intelligent Enterprise Integrations
These projects focus on creating seamless integrations across enterprise platforms including:
- Operational Intelligence (OI)
- Product Lifecycle Management (PLM)
- Asset Investment Planning (AIP)
- Enterprise Asset Management (EAM)
- Field Service Management (FSM)
Rather than relying on traditional point-to-point integrations, we're building a unified AI-native integration platform that combines data, orchestrates workflows, and enables intelligent decision-making across multiple enterprise systems.
The platform will support both human users and AI agents through sophisticated agentic workflows capable of coordinating actions across previously disconnected systems.
Project 3 – Building the Next Generation of AI-Native ERP
This initiative explores what an ERP platform would look like if it were designed today with AI at its core.
Instead of evolving legacy ERP architectures, we're creating a modern, AI-native platform that rethinks enterprise workflows from the ground up. The goal is to leverage autonomous agents, modern software architecture, and AI-first design principles to remove the limitations imposed by traditional ERP systems.
This is an early-stage greenfield initiative offering the opportunity to help shape the future architecture, technology stack, and product direction from the ground up.
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