Staff AI Full-Stack Engineer

Job not on LinkedIn

🕒 October 2

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Where this job comes from

Posted on Kohls Construction's careers page, not through a job board

First seen by Remote Rocketship October 2

Logo of Kohls Construction

Kohls Construction

11 - 50 employees

🏗️ Construction

🌾 Agriculture

Construction • Agriculture

Kohls Construction is a company whose name indicates it operates in the construction sector. The company's LinkedIn industry is listed as Farming, suggesting its work may be focused on agricultural or farm-related construction, site development, or infrastructure services for agricultural clients. Public information is limited from the supplied data, so this description is conservative and based on the company name plus the LinkedIn industry tag.

📋 Description

• Lead development of high-quality, robust, observable, and measurable applications using extreme programming practices and a user-centric approach • Navigate the entire application lifecycle with designers, product managers, and engineers • Lead lean experimentation and use data and industry best practices to influence decisions and achieve business outcomes • Establish and lead product engineering and software standards, continuously elevating existing standards • Mentor junior team members through pairing sessions, one-on-ones, and ad-hoc guidance • Model partnership, collaboration, technical initiatives, and regular feedback across the organization • Champion and customize extreme programming practices and engage in process and community discussions • Design and build modular, headless AI backend services, advanced RAG architectures, and multi-agent orchestration workflows using tools such as LangChain, AutoGen, and CrewAI • Construct enterprise-grade MCP gateways, API integration and mediation layers, rate limiters, and security proxies for autonomous agents • Develop lightweight streaming simulation frontends to validate agent behaviors, prompt strategies, and human-in-the-loop workflows • Collaborate with Applied/Data Science and Machine Learning specialists to fine-tune SLMs, perform AWQ/GPTQ quantization, and optimize GPU memory for high-throughput inference • Instrument distributed tracing, token utilization logging, and inference latency telemetry across the AI stack • Package reusable code libraries, containerized microservices, and integration SDKs • Architect resilient Compound AI Systems routing between deterministic APIs, specialized SLMs, and frontier LLMs • Perform additional assigned tasks

🎯 Requirements

• 6+ years of demonstrated experience building and scaling production applications using foundation models, RAG, or agentic workflows • 6+ years of experience integrating AI applications securely with enterprise data, APIs, and identity/access controls • 4+ years of experience evaluating and optimizing AI application quality, latency, reliability, and cost • 6+ years of experience in software development • Proven ability to manage multiple competing priorities • Advanced knowledge of application design patterns, event-driven architecture, database schemas, and testing strategies • Experience with large-scale application troubleshooting and performance tuning • Demonstrated experience working with major cloud platforms (GCP, AWS, or Azure) • Knowledge and experience with continuous integration, continuous deployment, and test-driven development • Ability to perform the accountabilities listed in the “What You’ll Do” section • Ability to comply with dress code requirements • Basic math and reading skills, legible handwriting, and basic computer operation • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company • Ability to learn and comply with all company policies, procedures, standards and guidelines • Ability to give direction to and receive, understand, and proactively respond to direction from leadership and other company personnel • Ability to work as part of a team and interact effectively and appropriately with others • Ability to maintain composure and work in a fast-paced environment while accomplishing multiple tasks within established timeframes • Ability to satisfactorily complete company training programs • Ability to use a personal computer for tasks such as communicating and preparing reports • Ability to plan, prioritize, and monitor activities across business units • Ability to complete or oversee assigned projects in a timely manner

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