AI/ML Engineer

About the role

The ideal candidate will have experience with modularized Gradle builds, Kotlin Multiplatform, performance optimization, dependency injection, networking stacks, offline-first patterns, and regulated industries.

Responsibilities

• Design, build, deploy, and operate production-grade Agentic AI systems for enterprise-scale applications.
• Own AI use cases end-to-end, from business requirement gathering through deployment, monitoring, and ongoing support.
• Develop and implement agent orchestration workflows using frameworks such as LangChain and LangGraph.
• Build reusable LLM tools and enterprise skills that enable AI agents to securely interact with business systems.
• Develop scalable backend services using Python, while integrating with existing Java service layers where required.
• Deploy and maintain AI workloads on Kubernetes and support model-serving infrastructure (e.g., vLLM).
• Monitor production AI systems, investigate failures, perform debugging, and implement reliability improvements.
• Collaborate with engineering, business, and vendor teams to deliver high-quality AI solutions with minimal ramp-up time.
• Ensure AI solutions meet enterprise standards for performance, scalability, security, and operational excellence.
• Drive production-first engineering practices and mentor teams on best practices for deploying and operating Agentic AI systems.

Requirements

Software engineering experience with a strong track record of building and shipping production systems. Hands-on experience designing, deploying, monitoring, and debugging production-grade Agentic AI / GenAI applications.

Strong Python development expertise for AI and backend engineering. Experience with Java or willingness to work extensively with Java-based service layers.

Practical experience with LangChain, LangGraph, or similar AI agent orchestration frameworks. Experience deploying AI applications on Kubernetes and working with production AI infrastructure.

Ability to build LLM tools/skills and integrate AI agents with enterprise applications and workflows. Experience designing, troubleshooting, and explaining system architecture, monitoring, failure modes, and production debugging.

Strong understanding of AI system reliability, scalability, and operational best practices. Experience partnering directly with business stakeholders to deliver AI solutions from concept through production.

Qualifications

No specific qualifications are listed beyond the must-haves provided in the Must Haves section.

Skills

No specific skills are listed beyond those mentioned in the Must Haves section.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) retirement plan
• Long-term disability insurance
• Short-term disability insurance
• 5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State
• 10-15 days of paid vacation time
• 6 paid holidays and 1 floating holiday per calendar year
• Ascendion Learning Management System