Description

What You’ll Do

● Build and operate features using TypeScript, Python, Go, and Java languages.

● Improve AI agent workflows built with LangGraph, LangChain, and related frameworks.

● Create automated evaluations and tests for multi-step, branching AI experiences.

● Run load and performance tests across the agent, services, and runtime platform.

● Develop and operate Kubernetes controllers, custom resources, Helm charts, and GitOps-based deployments.

● Improve monitoring, structured logging, dashboards, alerting, failure recovery, and FMEA coverage.

● Support AWS infrastructure running on EKS, including networking, storage, deployment automation, and multi-region reliability.

● Troubleshoot issues end to end, from the browser and streaming layer through the agent, services, APIs, and infrastructure.

Qualifications

● 8+ years of professional software engineering experience, with ownership of complex production systems.

● Strong full-stack experience, including production React applications and distributed backend services.

● Experience working across TypeScript, Python, Go, and Java languages and codebases.

● Experience with using AI coding agents (Claude, Cursor) to develop code.

● Experience with AI Eval platforms and tools is a plus.

● Strong AWS experience with EKS, EC2, S3, VPC networking, and infrastructure as code using CDK or CloudFormation.

● Applied AI engineering - hands-on experience building or evaluating LLM-powered or agentic applications using Claude Agent SDK, LangGraph, LangChain, or comparable frameworks.

● Experience with websockets, streaming systems, and real-time user experiences.

● Production Kubernetes experience, ideally including CRDs, custom controllers or operators, Helm, and GitOps.

● Strong production observability and operational ownership, including logs, metrics, alarms, incident response, and reliability improvements.

● Experience building active-active or active-passive architectures is a plus

● Ability to learn new systems quickly and work effectively through ambiguity.

● Strong written and verbal communication skills.

● Bachelor’s degree or higher in Computer Science or equivalent practical experience

Key Skills

Education

Any Graduate