Skills
Generative AI
Agentic AI systems
Python
Go
RAG
Hybrid retrieval
Embeddings
Knowledge retrieval pipelines
Agent orchestration
Tool calling
Multi-agent workflows
Model Context Protocol
Kubernetes
Docker
Cloud-native architecture
Multi-tenant SaaS
Distributed systems
API integrations
n8n
Temporal
MuleSoft
Apache Camel
Boomi
Pydantic AI
LangChain
MCP
Kong
Tyk
CNCF
Summary
Join a growing AI engineering organization building greenfield enterprise software around generative AI, intelligent integrations, agentic workflows, and cloud-native architecture. Depending on your specialty, you may design distributed backend services, build production RAG and multi-agent systems, develop full-stack AI applications, or shape new AI-first enterprise platforms. Strong experience with Python or Go, modern AI frameworks, Kubernetes, Docker, SaaS architecture, and emerging agent technologies is highly valued, with opportunities for technical leadership.
Highlights
Multiple engineering opportunities spanning backend, full-stack, and AI-native software development, with the chance to work on greenfield architecture, agentic systems, enterprise integrations, and next-generation cloud-native platforms. At least one position offers technical leadership, mentoring, and influence over engineering standards and architecture.
Description
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 GoExperience delivering system-to-system (S2S) integrationsHands-on experience with orchestration/integration platforms such as:n8n or Temporal (preferred)MuleSoft, Apache Camel, or Boomi (also considered)Experience building multi-tenant SaaS platformsExperience developing AI-native applicationsPreferred Experience
Model Context Protocol (MCP) developmentAPI gateway technologies such as Kong, Tyk, or similarDesigning 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 AIBuilding RAG (Retrieval-Augmented Generation) systems including:Hybrid retrievalEmbeddingsKnowledge retrieval pipelinesExperience developing agentic AI systems, including:Agent orchestrationTool callingMulti-agent workflowsStrong Python development experienceExperience building and scaling AI-native productsCloud-native infrastructure experience including:DockerKubernetesCI/CD pipelinesExperience with AI tooling/frameworks such as:Pydantic AILangChainMCPPreferred Experience
Go developmentOptimizing 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 technologiesUp-to-date knowledge of the latest developments in Generative AIExperience building agentic applications, including:Model Context Protocol (MCP)Planning-based agent architecturesGo development experienceExperience building multi-tenant SaaS applicationsExperience with cloud-native technologies including:KubernetesDockerCNCF ecosystemPreferred Experience
Spec-driven developmentDevOps 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.
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.
