Senior AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, scale, and enhance production-ready Agentic AI systems that drive measurable business outcomes.

• Develop scalable applications utilizing LLMs, SLMs, RAG frameworks, and autonomous agents.

• Create orchestration layers for multi-agent workflows, tool integration, and planning.

• Establish infrastructure for dependable, large-scale cloud deployment.

• Collaborate with product, engineering, and business teams to prototype solutions and transition AI capabilities from concept to production.

• Work alongside UX, engineering, and product management to develop secure, reliable, and scalable machine learning solutions.

• Document, review, and ensure adherence to quality and change control standards.

• Develop developer-ready, comprehensible, and testable user stories with the Product Team.

• Write code and scripts to automate infrastructure, monitoring services, test cases, and destructive testing.

• Configure off-the-shelf solutions to meet evolving business requirements.

• Create dashboards, logging, alerting, and response mechanisms for proactive issue management.

• Engage in learning activities and communities of practice.

• Address inquiries from product and support teams, promoting collaboration.

• Provide application support for production software.

• Monitor production Service Level Objectives.

• Assess performance and capacity across code, infrastructure, data, message processing, and prediction quality.

⛳️ Requirements

• Over 6 years of experience in AI, Machine Learning Engineering, or Software Engineering.

• Proficient in Python development and modern software engineering practices.

• Experience in building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.

• Comprehensive understanding of transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.

• Proven experience in developing orchestration layers for task execution, routing, planning, and workflows.

• Experienced in integrating AI solutions with enterprise platforms, APIs, and business systems.

• Expertise in cloud-native architectures, Docker, Kubernetes/GKE, Terraform, AI pipeline design, MLOps/LLMOps, CI/CD, automated testing, model versioning and registries, governance, compliance, and security.

• Experience in implementing progressive rollout strategies, automated rollback, observability, logging, metrics, distributed tracing, and automated alerting.

• Ability to optimize and troubleshoot AI systems for performance, reliability, scalability, latency, cost efficiency, and token utilization.

• Strong cross-functional communication and collaboration skills.

• Must be at least 18 years old.

• Legal authorization to work in the United States is required.

• Preferred: Experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar tools.

• Preferred: Knowledge of Terraform, Kubernetes/GKE, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector databases.

• Preferred: Familiarity with Node.js, React, REST, API design, Linux, Git, and modern deployment toolchains.

• Preferred: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance.

• Preferred: Experience with Responsible AI, evaluation frameworks, reliability engineering, and AI governance.

• Preferred: Knowledge in innovation, measurable business impact, mentoring, and AI engineering standards.

• Minimum education: high school diploma and/or GED.

• Certifications: None.

🏝️ Benefits

• Health care benefits.

• 401K.

• ESPP.

• Paid time off.

• Success sharing bonus.