AI SYSTEMS ENGINEER Agentic AI, Multi-Agent Systems & Secure AI Workflows (U.S.) Remote • United States We're building production AI systems designed for enterprise environments. We're looking for exceptional AI systems engineers who enjoy solving difficult systems problems – not just writing code. Our work sits at the intersection of agentic AI, software architecture, enterprise systems, governance, security, and operational intelligence. We design AI systems that improve how organizations operate while meeting the standards required for production deployment. We value engineers who think in systems, challenge assumptions, and care deeply about building technology that is reliable, understandable, secure, and useful. If you're motivated by difficult engineering problems, thoughtful architecture, and building production AI systems for enterprise organizations, we'd like to hear from you. WHAT YOU'LL HELP BUILD Examples of the types of systems we design include: - Multi-agent AI systems - Enterprise AI assistants - Secure AI workflows - Enterprise workflow automation - AI-powered knowledge systems - Human-in-the-loop decision support - Document intelligence - Retrieval-Augmented Generation (RAG) - AI memory and retrieval systems - AI evaluation and testing frameworks - Secure enterprise AI platforms - AI governance capabilities - Operational intelligence platforms TECHNICAL EXPERIENCE WE VALUE We're interested in engineers with experience in some combination of: - Python - AI Agent Development - LangGraph - LangChain - Large Language Models - API Development - Vector Databases - Software Architecture - Enterprise Systems Integration - Information Security Experience with OpenAI, Anthropic, Model Context Protocol (MCP), cloud infrastructure, workflow orchestration, observability, distributed systems, or regulated technology environments is also valuable. We do not expect expertise in every technology. We care far more about engineering judgment, systems thinking, demonstrated execution, and continuous learning than checking every technology box. THE PROBLEMS WE ENJOY SOLVING The engineers who thrive here enjoy questions like: - How should multiple AI agents coordinate work? - How should humans remain in control of important decisions? - How should production AI systems scale safely? - How should memory be designed for enterprise AI? - How should AI systems balance operational performance with governance, security, and reliability? - How should AI systems create measurable business value? If those questions excite you, you'll probably enjoy working with us. WHAT MAKES SOMEONE SUCCESSFUL HERE We're looking for engineers who: - Think in systems rather than individual features. - Care deeply about production quality. - Enjoy solving ambiguous technical problems. - Communicate complex ideas clearly. - Balance speed with sound engineering judgment. - Build practical solutions rather than chasing hype. - Continuously learn, experiment, and improve. We're significantly more interested in systems you've built than technologies you've used. Please provide specific examples that demonstrate your role, engineering decisions, and measurable outcomes. We recognize that many engineers use AI as part of their workflow. You're welcome to do the same. However, your application should accurately reflect your own experience, judgment, and technical thinking. We respect the confidentiality of your current and former employers, clients, and partners. Please do not include proprietary or confidential information in your application. Describe your work at a level that demonstrates your engineering approach without disclosing protected information. PROFESSIONAL STANDARDS We value integrity, sound engineering judgment, and respect for intellectual property. Please do not include confidential, proprietary, export-controlled, or other non-public information belonging to your current or former employers, clients, or partners in your application or work samples. We're interested in your engineering approach, architectural thinking, and problem-solving methodology – not protected information belonging to others. If you share code, architecture diagrams, technical documentation, or project examples, please ensure you have the legal right to do so and identify any material open-source or third-party technologies where appropriate. By submitting application materials, you represent that you have the legal right to share them and that doing so does not violate any confidentiality, intellectual property, employment, consulting, or other contractual obligations. Any engagement, if offered, will be subject to a separate written agreement covering confidentiality, intellectual property ownership, compensation, and other applicable terms. Submission of an application or participation in the evaluation process does not create any employment, independent contractor, partnership, joint venture, agency, fiduciary, or other business relationship with 26ers AI, nor does it obligate either party to enter into any future engagement. 26ers AI reserves the right to evaluate applications, discontinue discussions, modify the hiring process, or decline to pursue any engagement at its discretion. Nothing in this posting should be construed as an offer of employment or an offer to contract.

𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 We are looking for an experienced embedded firmware engineer to help diagnose and resolve stability, reliability, and performance issues in an existing wearable device platform. This is an established product with existing hardware and firmware. We are specifically looking for someone who excels at low-level firmware diagnostics, embedded troubleshooting, and system-level debugging in complex real-world devices. Our platform is a ruggedized wearable subsystem integrated into a custom Android-based device. The wearable hardware is built around Nordic Semiconductor nRF series MCUs and includes BLE connectivity, RTOS-based firmware, power management systems, and optical biometric sensing using PixArt sensor technology. Because this firmware operates as part of a larger Android ecosystem, experience with Android device integration, BLE communication with Android applications/services, and debugging interactions between embedded firmware and Android systems is highly valuable. Experience working with PixArt biometric/heart rate sensors or similar optical sensing systems will be weighted heavily in candidate selection. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Strong hands-on experience with: • Nordic Semiconductor nRF series MCUs • Embedded C/C++ • RTOS-based firmware systems • Bluetooth Low Energy (BLE) • Low-power embedded design • Real-time firmware diagnostics and troubleshooting • Sensor integration and debugging • JTAG/SWD debugging environments • Oscilloscope and logic analyzer usage • Firmware logging, tracing, and root-cause analysis 𝗛𝗶𝗴𝗵𝗹𝘆 𝗗𝗲𝘀𝗶𝗿𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 We are especially interested in candidates with direct experience in: • PixArt optical biometric sensors • Heart rate / SpO2 sensing systems • Wearable device firmware • Motion artifact mitigation • Sensor calibration and signal quality analysis • Battery-powered products • Android platform integration • Android BLE communication stacks • Android services/background communication • Debugging Android ↔ embedded device interactions • OTA firmware update systems • Long-runtime stability investigations 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻 Examples of issues we are actively diagnosing include: • Intermittent firmware instability • Unexpected resets or watchdog events • BLE communication reliability issues • Android connectivity or synchronization problems • Power consumption anomalies • Sensor data inconsistencies • RTOS timing or synchronization issues • Edge-case failures after extended runtime • Biometric sensor reliability and signal quality concerns The ideal candidate is someone who enjoys difficult debugging challenges and can systematically isolate root causes in embedded systems with multiple interacting components across both firmware and Android layers. 𝗪𝗵𝗮𝘁 𝗪𝗲 𝗡𝗲𝗲𝗱 𝗙𝗿𝗼𝗺 𝗬𝗼𝘂 Please include the following in your proposal: • Your experience with Nordic nRF platforms • Which RTOS environments you have worked with • Your experience with PixArt sensors or optical biometric sensing systems • Your experience integrating embedded devices with Android platforms • Examples of difficult embedded firmware bugs you have diagnosed • Experience with wearable or battery-powered devices • Your preferred debugging toolchain and workflow • Your availability and timezone • Whether you are available for ongoing support after the initial diagnostic phase 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 • Initial engagement focused on diagnostics and stabilization • Potential for long-term ongoing firmware work • Remote work is acceptable • NDA will be required • Strong English communication skills are important 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 • Nordic SoftDevice or Zephyr RTOS experience • Android native development experience • Embedded Linux familiarity • Manufacturing test/debug support • Medical or regulated device exposure • Experience working with ODM/OEM partners • Git-based collaborative development workflows 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗡𝗼𝘁𝗲𝘀 This role is focused heavily on advanced troubleshooting and root-cause analysis. We are not looking for junior firmware developers or general software engineers. Please only apply if you have substantial hands-on embedded firmware debugging experience and are comfortable working directly with hardware, sensors, BLE communication layers, and Android-integrated embedded systems. Budget depends on demonstrated experience with Nordic, wearable systems, PixArt sensors, and embedded diagnostics.

We're looking for a senior full-stack engineer to take on hands-on work across our web platform, architecting features, building APIs, and delivering polished, performant UI. Looking for someone that can do full stack but is heavy UI developmenet leaning. You'll be doing: Building full-stack features end-to-end (dashboards, booking, payments, admin tools, etc.) Modernizing existing code and reducing technical debt Node.js services, REST APIs. Performance optimization across front-end and backend CI/CD, automated testing, container-based deploys You should have: 8+ years building production web apps Strong TypeScript across a modern framework (React) Solid Node.js / Express backend experience AWS or GCP, Docker, and CI/CD experience Comfort with PostgreSQL Automated testing (Jest, Vitest, or similar) Bonus: AdonisJS, Golang

Overview We’re a software company that resells Microsoft licenses as part of our SaaS product and deploys workloads in Microsoft Azure. We need a specialist who can accurately model our per-user and per-deployment costs across both Azure infrastructure and Microsoft licensing so we understand exactly what each customer deployment costs us. What you’ll do • Build a clear, reusable cost model for a product deployment that combines Microsoft 365 licensing (e.g. E3/G3) with Azure Virtual Desktop (AVD) • Use the Azure Pricing Calculator to estimate infrastructure costs across different VM sizes and configurations (e.g. 8 GB vs 16 GB RAM, session host counts, storage, bandwidth) • Break down Microsoft licensing costs per user, including how E3/G3 and any add-ons stack up • Model how costs scale as we add users/seats, and identify the main cost drivers • Deliver the model in a spreadsheet we can adjust ourselves (change RAM, seat count, VM size, etc. and see the cost update) Required expertise • Hands-on experience with the Azure Pricing Calculator and real-world Azure cost estimation • Strong knowledge of Microsoft 365 / Azure licensing, including CSP/reseller licensing models • Experience with Azure Virtual Desktop sizing and cost (session hosts, VM SKUs, storage, FSLogix, etc.) • Ability to translate technical configs into a clean cost breakdown a non-engineer can follow Nice to have

We are seeking a highly skilled, hands-on Senior Controls Engineer / Systems Integrator to commission and integrate a newly imported automated packaging cell into our existing production line in Southern California. The core of the project involves taking a standalone, Chinese-built packaging system and interfacing it seamlessly with an upstream Jennerjahn paper rewinder. Equipment in the Automation Cell: Upstream Source: Jennerjahn Paper Rewinder (Primary line feed)Materials Handling: Robotic Arm (Picks finished paper rolls from the Jennerjahn)Foundation: Automatic Pallet Dispenser Containment: Stretch Wrapping Machine (Chinese OEM)Reinforcement: Pallet Bander / Strapping Machine (Chinese OEM)Project Scope & Key Responsibilities:Line Handshakes & Interlocking: Establish physical or networked interlocks (E-stops, line-ready signals, upstream/downstream bottleneck photoeyes, roll-ready bits) between the Jennerjahn, the robot controller, and the downstream Chinese packaging machinery.Protocol Bridging: Configure data communications between the different platforms. This will likely involve using hardware gateways (e.g., Anybus, ProSoft, Red Lion) to bridge the Chinese machinery's protocol (e.g., Modbus TCP/RTU) over to the main line standard (e.g., EtherNet/IP).Safety Integration: Wire and program a unified, global safety architecture. Hitting an Emergency Stop anywhere in the cell must safely halt the entire line. Integrate safety light curtains/scanners around the robot and wrapper zone. On-Site Commissioning: Trace physical I/O, verify sensor layouts, test motor rotations on conveyors/turntables, tune VFD acceleration curves to prevent rolls from shifting, and support live "wet" production testing until full line cycle speed is achieved.Diagnostics & Handover: Ensure all HMI fault messages from the imported machine are clearly translated into English. Provide a final, clean backup of all code, updated as-built schematics, and a brief handover to our local maintenance team. Required Technical Expertise:7+ years of experience in industrial automation, controls engineering, and complex line integration. Deep knowledge of multi-platform communication (bridging distinct network protocols).Experience working with major domestic platforms ([Insert your main line brand, e.g., Allen-Bradley Studio 5000 / Siemens TIA Portal]) as well as common Asian PLC brands (Delta, Inovance, Mitsubishi, Omron).Proficient at reading and reverse-engineering industrial electrical schematics when documentation is minimal or translated.Must bring your own diagnostic tools, laptops, and specialized software.Logistics & Location Requirements:Location: This job requires an active, on-site presence at our manufacturing facility in [Insert City, CA, e.g., Ontario / Irvine / Corona] for the physical dry-run and live testing phases.Work Authorization: Must be legally permitted to work in the United States.

Overview** We are a pre-seed hardware startup building a benchtop data-capture system for a medical robotics application. We need an experienced embedded firmware engineer to develop and deliver production-ready firmware for Sprint 1 of our prototype build. This is a fixed-price, remote-friendly engagement. Ideal for a moonlighting engineer comfortable with sensor integration, real-time data acquisition, and microcontroller firmware on Teensy/Arduino platforms. --- **Scope of Work** 1. Firmware to interface an ATI AFT50 6-axis force/torque sensor with a Teensy 4.1 microcontroller via SPI 2. Real-time data streaming over USB serial at ≥500 Hz sustained throughput 3. Simultaneous SD card logging with sub-millisecond timestamping 4. Hardware interrupt-driven acquisition loop (no polling) 5. Basic sensor zeroing and tare calibration routines 6. Clean, commented, version-controlled code delivered via GitHub 7. Brief written documentation covering setup, wiring diagram, and calibration procedure --- **Hardware You Will Be Working With** - Teensy 4.1 (PJRC) - ATI Mini45 / AFT50 6-axis F/T sensor (SPI interface) - Rigid aluminum instrument handle bracket (we provide CAD) - Standard benchtop power supply We will reimburse for procured hardware — to be agreed at project start. --- **What We're Looking For** - Proven Teensy 4.x or equivalent ARM Cortex-M firmware experience - Prior work with industrial or research-grade sensors (SPI/I2C/UART) - Ability to hit real-time throughput targets and document them - Clean coding habits — this codebase will be built on - NDA and IP assignment agreement required before project kickoff Bonus (not required): experience with ATI F/T sensors, GPS PPS timing, or ROS serial bridge --- **Budget:** $2,500 – $3500fixed price (based on experience and scope discussion) **Timeline:** 8–10 weeks **Contract type:** Fixed price, milestone-based --- **To Apply** Please include: - 2–3 relevant firmware projects (GitHub links preferred) - Your experience with Teensy or similar ARM Cortex-M boards - Estimated timeline to complete the scope above We move quickly. Shortlisted candidates will be contacted within 48 hours.

## Project at a Glance - Project stage: Partially built; bootstrapped project where efficiency, speed, cost, and lean execution matter. - Expected project duration: Approximately 1 to 2 months. - Engagement type: Independent contractor / hourly engagement only. - Scale target: The app should be architected with future growth in mind, including a target capacity of 80,000+ monthly active users with reasonable headroom to scale without avoidable rework, security degradation, or performance issues. - Security posture: SOC 2 readiness should be considered from day one; certification may occur later. - Meetings: One weekly video sync of up to 60 minutes may be scheduled by mutual agreement and should be accounted for in the contractor’s proposed budget. ## Overview We are building a production-grade, multi-tenant SaaS web application designed for enterprise-level scale, security, and reliability. The application may handle employee data and is being built with SOC 2 readiness in mind from day one. This is a bootstrapped project. Speed and lean execution are critical, and every decision should balance quality with pragmatism. The product is being designed to last, scale, and withstand technical, security, and operational scrutiny. We are seeking a U.S.-based individual senior full-stack engineer who can personally lead the web app development scope through production-ready implementation, end to end. No outsourcing outside the U.S. No agencies. ## Technology Stack - Front-end: Next.js App Router, TypeScript, Tailwind CSS - Backend / API: Next.js API Routes, Supabase Edge Functions, FastAPI / Python - Database: Supabase PostgreSQL - Authentication: Supabase Auth, OAuth, SSO, MFA - Authorization: RLS / Row-Level Security, RBAC - Realtime: Supabase Realtime - LLM / AI: OpenAI / Anthropic / Gemini-compatible LLMs - Billing: Polar.sh - HRIS Integration: Unified third-party connector - Email Delivery: Resend - Analytics: PostHog - Error Monitoring: Sentry - Infrastructure: Vercel + Supabase - CI/CD: GitHub Actions - Testing: Vitest / Jest, Playwright - AI Agents: Agentic workflows, tool use, and related architecture - MCP Integrations: MCPs for ChatGPT, Claude, Gemini, or similar environments - Additional technologies may be used. ## What We Are Looking For - Experienced full-stack SaaS product engineer with a strong, verifiable portfolio - Deep expertise in Next.js and TypeScript - Production-grade Supabase experience, including RLS, Realtime, and Edge Functions - Python back-end development experience with LLM integration, including RAG pipelines, memory, or fine-tuning workflows - Experience implementing subscription lifecycle flows and seat-based access control end to end - A genuine standard for clean, well-organized, maintainable code - Demonstrated ability to design systems that can scale horizontally without structural rework - Demonstrated ability to work efficiently in a lean, bootstrapped environment - Security-first development practices, especially when handling sensitive or regulated data - Clear, prompt professional communication - Experience building AI agents or agentic workflows - Experience building MCP integrations for ChatGPT, Claude, Gemini, or similar platforms - Experience designing hierarchical multi-tenant account structures with seat-based access control ## Strongly Preferred - Hands-on experience building RAG pipelines and LLM fine-tuning workflows in production - Experience handling employee or HR data, including PII access controls, audit trails, and data residency considerations - Experience building toward SOC 2 readiness in a prior engagement - HRIS or enterprise HR system integration experience - Familiarity with OWASP, NIST CSF, or CIS Controls ## This application is being built to last and may handle sensitive employee data. We are looking for an engineer who takes code quality, data responsibility, lean execution, and long-term system health seriously. ## Please answer all 5 screening questions in your response. ## Communication - Contractor should identify normal availability windows and provide timely responses, generally within one business day during those agreed availability windows. - Day-to-day communication will generally be async through the applicable platform or contract workroom. - One weekly video sync of up to 60 minutes may be scheduled by mutual agreement for status updates, completed-work summaries, blockers, and upcoming priorities. Contractor should account for this meeting time in the proposed hourly rate or budget. - Pre-engagement sales, proposal, or introductory scoping discussions are not billable. ## Confidentiality and IP Project details are shared only after the client’s NDA is executed. If both parties decide to move forward, a separate IP Assignment Agreement is required before any offer is accepted or substantive work begins. This is an independent contractor / hourly engagement only and does not include full-time employment, salary, benefits, equity, revenue share, product ownership, or any ongoing engagement beyond the agreed scope.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

We are a small aerospace manufacturing company located in Shawnee, Kansas seeking a freelance Mechanical Engineer for ongoing part‑time work. This role involves updating and modifying mechanical drawings, ensuring compliance with MIL‑SPEC standards, and supporting our ISO 9001 design control process. This is a hybrid role — remote work is fine, but we require at least 10 hours of on‑site collaboration per month in Shawnee, KS. Scope of Work: Update and revise mechanical drawings using Autodesk CAD Modify existing engineering documentation and customer drawings Maintain current MIL‑SPEC and aerospace standard requirements Provide engineering input for production and quality teams Support design control documentation for ISO 9001:2015 Attend monthly on‑site engineering sessions (10 hours minimum) Required Skills: Autodesk Inventor or AutoCAD Mechanical engineering background (5+ years preferred) Experience with MIL‑SPECs, aerospace machining, GD&T Strong drawing interpretation and revision skills U.S. citizenship or green card (ITAR/CUI environment) Ability to be on‑site in Shawnee, KS monthly Contract Terms: Ongoing monthly work (10–20 hrs/month) Hourly rate: $40–$100/hr depending on experience Long‑term relationship preferred To Apply: Please include: Resume Examples of CAD work Confirmation you can be on‑site monthly Your hourly rate CATEGORY: Mechanical Engineering LOCATION PREFERENCE: United States only TALENT TYPE: Independent BUDGET: $40–$60/hr. HOURS PER WEEK: Less than 20 hrs./week

Subject: Invite: Rapid Fixed-Price $500 App Stabilization & Integration Sprint Hello, I am looking to immediately onboard a top-tier domestic engineer to clear our workstation runway for a rapid, fixed-price $500 Framework Stabilization Sprint to drive our core multimedia application straight to a live grand launch. Our application architecture is pre-coded and fully intact on our master branch. Your terminal will focus strictly on targeted backend surgery and API integration to clear legacy regressions: The Sprint Scope Matrix: 1. Media State Management: Patch our 6-zone media player buffers where tracks cut out after 2 seconds. Cleanly un-brick the hardware microphone recording paths inside the vocal booth loop to stabilize audio-video lip-sync processing. 2. Gateway Sync: Synchronize our RevenueCat transaction product ID configuration strings so they match our live app store profiles. 3. Soundraw API Integration: Activate and validate our pre-built Soundraw API backend channels to stream multi-genre backing tracks over the air networks. This is a high-velocity, pay-for-performance sprint requiring a working build delivered to device glass on an accelerated holiday timeline. Let me know your immediate terminal availability so we can transfer our repository access tokens today.