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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Core Engineer focused on Software / Applied AI - **Company:** NATIVE AI LLC - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $130,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Data Systems, Distributed Systems, Python (Programming Language), PostgreSQL, Software Safety, TypeScript, Multi-Agent Systems, Software Security, Fastapi, AI Platforms, Kubernetes, Low Latency, Deployment Automation, Apache Kafka, Docker - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/core-engineer-software-applied-ai-509975580 ## About the Role * 6+ years building and operating production software systems * Experience shipping AI-enabled platforms or agentic systems strongly preferred * Strong distributed systems, performance, and reliability fundamentals * Experience owning production services end-to-end (e.g., Docker/Kubernetes, REST/gRPC APIs, controlled rollouts) * Experience building evaluation frameworks, monitoring, and AI safety/guardrail systems * Strong engineering craft with clean, well-documented implementations * Proficiency in Python and/or TypeScript/Go and modern service frameworks (e.g., FastAPI-style) * Comfortable navigating ambiguity and real-world constraints (latency, cost, GPU utilization, reliability) * Clear communicator and strong cross-functional collaborator * Ownership mindset focused on outcomes Unique Experience Valued * Production experience with agentic or multi-agent systems and orchestration layers * Experience designing reusable AI patterns (tool calling, memory/state, policy constraints, guardrails) * Experience building fine-tuning pipelines and runtime optimization for private AI deployments * Background in AI monitoring and quality systems enabling safe rollback and continuous improvement * Strong systems intuition across data, infrastructure, and security constraints * Familiarity with event/data systems (e.g., Kafka), operational stores (e.g., Postgres or time-series DBs), and secure deployment patterns ## Description Our client is seeking a Core Engineer focused on Software / Applied AI to build production-grade AI capabilities that make a next-generation edge platform scalable, reliable, and repeatable. In this role, you will own critical components of a private AI platform, including agentic and multi-agent systems, repeatable AI architectures, evaluation and reliability frameworks, and platform capabilities such as automated fine-tuning and runtime optimization. This work operates within clearly defined industrial production boundaries - AI behavior must be measurable, controlled, and fully reversible before reaching production. You will partner closely with data and infrastructure teams to translate real-world requirements into scalable platform capabilities. This is a hands-on, high-ownership role ideal for engineers who want to build the infrastructure that makes real-world AI deployments safe and dependable. What You'll Do * Build and operate production AI capabilities including: + Agentic and multi-agent workflows + Tool calling and orchestration + Repeatable AI patterns that scale * Design and implement evaluation, monitoring, and quality systems to ensure AI reliability and continuous improvement * Develop platform capabilities for private AI, including: + Automated fine-tuning workflows + Model and runtime optimization + Inference performance improvements under real-world constraints * Implement safety and operational controls such as: + Policy constraints + Approval workflows + Auditability + Rollback mechanisms * Build pragmatic APIs and interfaces to integrate AI capabilities across platform services * Improve developer velocity through automation and AI-assisted tooling * Partner with data and infrastructure teams to ensure high-quality context reaches inference and agent workflows * For senior levels: mentor engineers, review designs, and raise the technical bar What Success Looks Like First 3 months * Deliver at least one production AI capability that improves reliability, performance, or usability * Establish evaluation and rollback models for an AI workflow operating within industrial constraints * Become a trusted owner for key AI platform components First year * Own major components of the private AI platform end-to-end * Ship repeatable AI structures that accelerate adoption across deployments * Drive platform evolution through measurable, production-grounded improvements ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)