Lead/Senior Lead Software Engineer - Agentic AI Engineering (Enterprise Asset Management)
Core
Designing, developing, and implementing cloud-based Enterprise Asset Management solutions using agentic AI approaches to enable smarter engineering and accelerate delivery.
Role type
Senior IC software engineer (agentic AI & backend)
Builds
Scalable, reliable, high-quality Enterprise Asset Management SaaS/ERP solutions
Domain
Enterprise Software / Asset Management / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Go, TypeScript/Node.js, microservices, event-driven systems, RESTful APIs, Kafka, Redpanda, Kubernetes, Domain-Driven Design, PostgreSQL, MongoDB, AWS, Azure, CI/CD, automated testing, observability, DevSecOps, AI-assisted development tools, Spec-Driven Development
Preferred skills
React, Enterprise SaaS/ERP product experience, LLMs, AI agents, RAG, context engineering, AI evaluation in production
Technologies
Go, TypeScript, Node.js, Kafka, Redpanda, Kubernetes, PostgreSQL, MongoDB, AWS, Azure, React, GitHub Copilot, Cursor, Claude Code
Responsibilities
Design and build microservices and event-driven systems; implement agentic AI approaches in the software development lifecycle; mentor engineers and champion industry best practices; align engineering decisions with business goals and customer needs; drive continuous improvements in engineering practices and operational excellence
Seniority
Senior, hands-on IC with leadership responsibilities