Staff Software Engineer role focused on technical leadership for Forecasting and Recommendations platforms with emphasis on production-grade AI and agentic systems. Responsibilities include designing, building, and operating high-throughput, low-latency distributed systems, writing production-quality code, architecting SaaS services, building agentic applications, working with foundational LLMs, using frameworks like LangChain, embracing AI-assisted development tools, championing observability and reliability, leading incident response, identifying architectural risks, reducing complexity, and providing technical guidance. Requires 12+ years of software engineering experience, strong ownership of business-critical services, deep systems design expertise, production experience with ML-driven systems, expert AWS skills, Kubernetes and CI/CD experience, and proficiency in Python plus one or more backend languages. Bachelor's or master's degree in CS, Math, or related field or equivalent experience required. Benefits include unlimited PTO, medical/dental/vision coverage, employee equity, discounts, wellness classes, and pet insurance. Salary range $220,000 - $240,000. Remote position based in the United States.
What you'll do
Design, build, and operate systems supporting forecasting, recommendations, and agentic AI workflows in production
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
Write production-quality code daily; own services end-to-end from design through on-call and incident resolution
Architect low-latency, high-throughput SaaS services including APIs, data pipelines, model inference, and agent orchestration
Build and maintain production-grade agentic applications including tool-using agents, workflow orchestration, and guardrails
Work fluently with foundational LLMs (e.g., GPT, Claude, Gemini Pro), selecting appropriate models and deployment patterns based on latency, cost, and reliability tradeoffs
Use frameworks and tooling such as LangChain, voice agents, and related ecosystems to accelerate development while enforcing production discipline
Embrace AI-assisted development workflows (e.g., Cursor, GitHub Copilot, vibe coding paradigms) to move quickly without sacrificing quality
Champion observability and reliability: metrics, logging, tracing, alerting, and post-incident analysis
Lead and participate in production incident response, retrospectives, and systemic fixes
Identify architectural risks early and make design decisions that prevent outages and scalability issues
Reduce complexity across services, infrastructure, and processes to improve stability and team velocity
Provide technical guidance across teams and participate in architectural reviews beyond your immediate domain
Requirements
12+ years of professional software engineering experience building and operating production-grade distributed systems
Hands-on ownership of business-critical services with measurable improvements in latency, throughput, stability, or cost
Deep expertise in systems design including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs
Production experience supporting machine learning–driven systems (forecasting, recommendations, or similar), with emphasis on serving, pipelines, and infrastructure
Expert-level experience with AWS including designing, deploying, and operating large-scale cloud-native systems
Strong hands-on experience with Kubernetes, containerized microservices, and modern CI/CD pipelines
Experience operating software in both on-prem data center and AWS cloud environments
Fluency with modern AI-assisted development tools (e.g., Cursor, GitHub Copilot) and comfort working in vibe coding–style workflows
2+ years of experience in Python and proficiency in one or more backend languages commonly used for large-scale systems (Python, Java, Go, Scala)
Bachelor’s or master’s degree in computer science, Mathematics, or a related field, or equivalent practical experience
Tech stack
PythonJavaGoScalaAWSKubernetesCI/CDLangChainCursorGitHub CopilotLLMsGPTClaudeGemini Pro
