Role Description You'll build the services, APIs, and core application systems that power uRun's runtime—the software layer that turns our real-time inference platform into something product and applied AI teams can actually build on. - This is not a conventional CRUD backend role. - The work centers on low-latency, high-throughput systems: real-time interaction, evolving session state, and request handling that stays reliable under heavy compute and concurrency. - You'll work closely with product, infrastructure, and applied AI teams, in an early-stage environment where the architecture is still being set. What you'll actually be doing day-to-day: - Build and maintain backend services, APIs, and internal platform components that power uRun's real-time inference runtime. - Design systems for real-time interaction, evolving session state, and scalable request handling across production environments. - Partner with infrastructure and platform engineers to keep services observable, reliable, and efficient under heavy compute and concurrency. - Translate experimental AI capabilities into robust, user-facing software, working closely with product and applied AI teams. - Shape architecture decisions on data flow, service boundaries, performance optimisation, and fault tolerance for interactive systems. - Raise engineering quality through testing, monitoring, code review, documentation, and sound operational practice. Qualifications - 7+ years building and shipping backend software in production. - Proficiency in one or more backend languages — Python, Go, or TypeScript/Node.js. - Experience designing APIs, service-oriented systems, and distributed application components. - Solid understanding of cloud infrastructure, containers, and modern deployment workflows. - Ability to reason about performance, concurrency, reliability, and debugging in complex systems. - Experience with real-time, interactive, streaming, or latency-sensitive systems; this is central to the role, not a bonus. Requirements - WebRTC or WebSockets for real-time communication. - AI infrastructure, inference-adjacent systems, media pipelines, or event-driven architectures. - Kubernetes, observability tooling, and hands-on production operations. - Early-stage startup experience — owning problems end-to-end and moving quickly with limited scaffolding. Benefits - Competitive salary and meaningful equity in an early-stage AI infrastructure company. - Health, dental, and vision — full coverage. - 401(k) — company-supported retirement savings. - FSA/HSA — flexible spending accounts for healthcare costs. - Paid time off — we trust you to manage your time. - Top-tier tooling — access to the best AI tools available: Claude, Codex, Kimi, and whatever else helps you move faster. - MacBook Pro and AirPods — the hardware you need, on us.

Role Description Clarium builds computer vision pipelines that extract structured data from clinical images under real-world conditions. This role owns the end-to-end pipeline: object detection, identification, reconciliation, and data extraction from images captured under variable lighting, camera angles, and workflow conditions with zero tolerance for errors. You’ll design and build production-ready CV pipelines that combine state-of-the-art object detection models, multimodal LLM/LVM APIs, and barcode/label decoding to produce structured, auditable inventory data that clinical and supply chain workflows depend on. This has direct implications for patient safety, billing accuracy, and supply chain optimization. In This Role You Will - Design, build, implement and optimize multi-stage CV pipelines spanning segmentation, object detection, multimodal LLM/LVM extraction, machine-readable code decoding, and multi-source reconciliation. - Train or fine-tune detection models on custom medical supply datasets. - Build and own dataset strategy - leverage augmentation and synthetic data generation to improve the training and testing datasets when data doesn’t exist. - Monitor and improve pipeline accuracy — instrument field-level metrics, diagnose failure modes, and systematically improve precision/recall through model iteration and preprocessing optimization. - Design persistence schemas and audit data models that make every extraction independently reviewable. - Maintain and extend the async Python backend services that surface pipeline results to downstream clinical workflows. Qualifications - 5+ years experience in computer vision and object detection. - Hands-on experience training and fine-tuning detection models. - Experience building OCR pipelines for label/packaging text extraction. - Strong Python skills with experience in OpenCV, image preprocessing, and augmentation techniques. - Production experience with multimodal LLM APIs for structured data extraction and validation. - Backend engineering: FastAPI, Pydantic v2, PostgreSQL, async Python. Requirements - OCR pipelines for label/packaging text extraction. - Experience with barcode/QR/UDI decoding and preprocessing strategies that improve decode rates. - MLOps experience: Docker, CI/CD, model versioning, A/B testing. - Workflow orchestration tools (Temporal, Prefect, Airflow). - Healthcare or supply chain domain experience. - Familiarity with medical device identification standards (UDI, GS1). Skills & Tools You'll Use Need to Know: - Python, PyTorch, FastAPI, Pydantic v2, PostgreSQL, Multimodal LLM APIs, Image preprocessing, Barcode / QR decoding, OCR pipelines. Nice to Know: - Zero-shot object detection, Temporal, Prefect, Airflow. Benefits - Incentive Stock Options proportionate to your salary. - Fully remote — we're a distributed team across multiple time zones. - Unlimited PTO. - Top-tier health, vision, and dental benefits. - 401K. - The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product.

• Write clean, maintainable code within the Rails framework, utilizing best practices. • Design and optimize RESTful APIs that power our suite of applications, ensuring they are reliable, performant, and consistent across the platform. • Integrate Hotwire components like Turbo Streams, Turbo Frames, and Stimulus to achieve smooth, near-instantaneous user interactions on the front-end. • Collaborate with UX design and product management teams to brainstorm new and existing requirements • Implement new features, new products, and help to improve existing features • Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes. • Keep your team up-to-date with your progress, issues, and status

Role Description This position is full time remote and requires a secret clearance so candidates must be clearable. Accelera Solutions is seeking a highly skilled Microsoft SQL Server DBA / Database-as-a-Service (DBaaS) Engineer to support mission-critical healthcare and enterprise systems for the Defense Health Agency (DHA). This role is ideal for an experienced SQL Server Database Administrator (DBA) with expertise in: - SQL clustering - High availability - Performance tuning - Windows Server - Azure - Enterprise database operations within secure DoD environments The Microsoft SQL Server DBA / DBaaS Engineer will: - Design, build, administer, secure, monitor, and optimize enterprise Microsoft SQL Server environments supporting DHA mission systems. - Focus heavily on SQL Server clustering, high availability, performance tuning, backup/recovery, database security, Windows Server administration, and DBaaS platform operations. - Have strong experience supporting enterprise-scale Microsoft SQL Server 2016/2019/2022 environments in regulated or federal environments. - Be comfortable working across infrastructure, cloud, storage, cybersecurity, and platform engineering teams. Qualifications - 8+ years of experience as a: - SQL Server DBA - Microsoft SQL Server Engineer - Database Administrator - Database Platform Engineer - Infrastructure DBA - Strong hands-on experience with: - Microsoft SQL Server 2016/2019/2022 - SQL Clustering - Always On Availability Groups - Windows Server administration - SQL performance tuning - Backup and recovery operations - Technical Skills: - Microsoft SQL Server Administration - SQL Server Clustering & High Availability - T-SQL Query Optimization - SQL Server Management Studio (SSMS) - RedGate SQL Monitor - Windows Server - Database Security & Encryption - Disaster Recovery / Backup Solutions - PowerShell scripting - Desired Certifications (One or more preferred): - Microsoft Certified: Azure Database Administrator Associate - Microsoft Certified: Azure Administrator Associate - Microsoft Certified Professional (MCP) - SQL Server or Azure database certifications - 3+ years supporting Federal Government or DoD environments (Military IT experience qualifies) - Cloud & DevOps: - Microsoft Azure SQL - AWS RDS - Azure / AWS cloud infrastructure - Hybrid cloud database environments - Git / source control - Infrastructure automation - Additional Technologies: - MariaDB - NoSQL databases - Power BI - SQL Reporting Services (SSRS) - Data Services technologies - Scripting/programming experience - Federal / DoD Experience: - DHA healthcare IT experience - RMF compliance - STIG remediation - Secure enterprise infrastructure operations Requirements - Design, deploy, administer, and maintain Microsoft SQL Server 2016/2019/2022 environments - Build and support SQL Server Failover Clusters, Always On Availability Groups, and high-availability solutions - Manage enterprise Database-as-a-Service (DBaaS) offerings and hosted SQL environments - Perform SQL Server installation, configuration, patching, upgrades, and lifecycle management - Configure and manage SQL instances, databases, logins, permissions, and role-based access controls (RBAC) - Troubleshoot and resolve complex SQL Server performance issues - Optimize queries, indexes, execution plans, and database configurations - Monitor database health and availability using: - RedGate SQL Monitor - SQL Server Management Studio (SSMS) - Native SQL monitoring tools - Implement proactive monitoring and alerting strategies - Develop and maintain backup, restore, disaster recovery, and business continuity procedures - Support encryption of data at rest and in transit - Implement database security best practices and compliance controls - Support RMF, STIG, vulnerability remediation, and cybersecurity compliance activities - Administer Windows Server infrastructure supporting SQL Server environments - Collaborate with storage, virtualization, cloud, and backup teams - Support hybrid and cloud-hosted database environments including: - Microsoft Azure SQL - AWS RDS - Hybrid SQL deployments - Develop and maintain automation scripts using PowerShell or other scripting languages - Support Git-based configuration management and infrastructure automation - Implement maintenance automation using tools such as Ola Hallengren Maintenance Solution Company Description Accelera Solutions is an Equal Opportunity Employer/Veterans/Disabled.