Summary We are looking for a Full Stack .NET Developer with experience in .NET, CSS, Javascript, Bootstrap 3 & 5, and React frameworks for project specific work. We are looking to convert pages from Bootstrap 3 to Bootstrap 5. If you are comfortable working in new modern .NET and legacy .NET Framework, while moving quickly from idea, design, and to working code, know how to leverage AI tools as a force multiplier (not a crutch), and enjoy building SOLID, clean, maintainable systems end-to-end, we would like to hear from you. Professional Qualifications: ASP.NET MVC, .NET, C#, React, Javascript, jQuery, HTML/CSS, Bootstrap 3 & 5 migrations, Azure, DevOps. Leverage AI as a productivity multiplier to solve business problems and improve internal processes. Solid problem-solving and debugging skills, with the ability to tackle more complex and ambiguous issues. Proficiency in software development best practices, including SOLID principles, design patterns, and testing strategies. Experience designing, developing, and maintaining end-to-end features or services of moderate complexity. Familiarity with system architecture concepts and ability to articulate trade-offs. Prior experience mentoring peers and sharing knowledge and best practices to strengthen team capabilities. Personal Qualifications: Strong ownership mindset with the ability to work independently on larger scopes. Proactive communicator who ensures alignment across team members and stakeholders. Demonstrates leadership qualities, including empathy, patience, and clarity when mentoring or reviewing code.

We're seeking Mechanical Engineers to support infrastructure and public facility projects. Preferred experience: HVAC Plumbing Mechanical systems Utility infrastructure Municipal facilities Preferred Software Revit MEP AutoCAD Bluebeam Please Include Resume Relevant project experience Professional license (if applicable) Software proficiency Hourly rate Weekly availability Current location This is an opportunity to build a long-term relationship with WBBC Consulting rather than apply for a single project.

We are a fast-growing telecom / AI-First CPaaS serving sms and voice API's. We are building the first AI-first communications platform (SMS, Voice, RCS, AI agents) designed for speed, simplicity, and real-world business outcomes. We are not looking for a “task completer.” We are looking for a true senior engineer who: thinks in systems moves fast makes decisions independently writes clean, scalable code uses AI tools (Claude, etc.) as a force multiplier ⚠️ Read This First *DO NOT APPLY IF YOU ARE PRETENDING TO BE IN A DIFFERENT COUNTRY. PROOF OF RESIDENCY IS REQUIRED. Most applicants will not be a fit. If you need: detailed tickets hand-holding constant direction This is NOT the role for you. If you are the type of engineer who: sees a problem and solves it end-to-end improves architecture without being asked ships quickly without sacrificing quality You will thrive here. What You’ll Do Build and ship full-stack features across our platform (messaging, voice, AI workflows) Make architectural decisions (not just implement) Improve system performance, reliability, and scalability Work directly with founders (no PM layers) Move from idea → production very quickly What We Expect (Non-Negotiable) 5+ years real full-stack experience (not just titles) Strong backend experience (Node.js / APIs / infra) Strong frontend experience (React or similar) Experience building production systems at scale Ability to work autonomously with minimal direction High ownership mentality Bonus (but highly valuable) Experience with telecom / CPaaS / messaging Experience with AI integrations (LLMs, agents, workflows) Experience optimizing performance at scale Startup experience (especially early-stage or fast growth) How We Work Small, high-output team Very fast iteration cycles No unnecessary meetings High trust, high expectations We use AI tools heavily (Claude, etc.) — you should too What We Care About Most Not your resume. We care about: How you think How you build How fast you execute The quality of your code To Apply Please include: Links to projects you’ve built (real production work) A short explanation of: a system you designed end-to-end a difficult technical decision you made independently Your GitHub Optional (but strong signal): Share how you use AI (Claude, etc.) in your workflow Compensation Competitive (based on experience) Long-term opportunity with a fast-growing, profitable company If you are truly senior, this will feel obvious. If not, this role will be very uncomfortable. **THIS IS A FT, HOURLY ROLE. PROVIDE YOUR REQUESTED HOURLY RATE IN PROPOSAL**

We're needing to build a background service that polls a customer's SQL Server database on a schedule and forwards the results to a remote REST API. It ships with a desktop app for health monitoring and reconfiguration, plus an MSI installer with a setup wizard. We're looking for an experienced Windows/.NET contractor to build this out from a defined spec. We need a strong engineer who can execute cleanly against the design, raise good questions on the open items, and ship a production-quality, installable product.

# Full-Stack AI Engineer — Semantic Search + Next.js + Supabase (Long-Term, Contract-to-Hire) ## About We're building an AI-native platform that makes a large archive of recorded talks genuinely discoverable and useful: need-based semantic search over transcribed media, with a subscription product built around it. We have a clear product vision and architecture and are looking for a lead engineer to build the first version and grow with us long-term. Full product details are shared with shortlisted candidates under NDA — this post focuses on the engineering and the skills we need. ## The engineering challenge You'll build a two-part system that shares one database: 1. **A content pipeline (Python):** ingest recorded talks, transcribe them, chunk and enrich the transcripts with metadata using an LLM API, generate embeddings, and store everything in Postgres. 2. **A web app (Next.js):** fast, crawler-friendly, SEO-strong content pages with structured data; retrieval-based search that returns relevant source material with links/citations; user accounts; and Stripe-gated paid content. We care a lot about retrieval *quality* and clean, maintainable architecture — this is a real product, not a prototype. ## Required tech stack - **App:** Next.js (App Router), TypeScript, Vercel. Strong SSR/SSG, SEO, and JSON-LD structured-data experience. - **AI/backend:** Python; production RAG (embeddings, chunking, retrieval quality); LLM API integration. - **Data:** Postgres + **pgvector** (via Supabase); embeddings via a hosted model (Voyage/OpenAI). - **Auth & gating:** Supabase Auth with row-level security. - **Payments:** Stripe (subscriptions + one-time). ## Required skills - Shipped production Next.js (App Router) + TypeScript apps with strong SSR/SEO. - Built a real RAG / vector-search system in production — not a tutorial clone. - Comfortable in Python for data pipelines. - Postgres + pgvector and Supabase in production. - Stripe integration. - Plans before building; communicates clearly in writing. ## Nice to have - Audio/video transcription experience (Whisper / faster-whisper / Deepgram / AssemblyAI). - Agentic coding workflows (e.g., Claude Code). - Content-heavy SEO products or media libraries. ## Engagement - Hourly, contract-to-hire. ~20–40 hrs/week to start; long-term for the right person. - We start finalists on a **small paid test project** (a single self-contained slice of the pipeline) before the full engagement — that's how we evaluate fit. ## Confidentiality This is a proprietary product. Shortlisted candidates sign a mutual NDA before we share full scope and context. Please don't expect complete product details in the first exchange — strong technical applicants will have everything they need to be evaluated, and the rest follows the NDA. ## How to apply Applications that skip these are ignored: 1. **Start your proposal with the word `pgvector`** so we know you read this. 2. Link **two** projects: one live Next.js/SSR app, and one RAG/embeddings or LLM-integration project. Tell us what *you* personally built. 3. Answer briefly: *An offline embedding pipeline and a live search query must use the same embedding model — why does that matter, and how would you guarantee it?* 4. One line on your approach to chunking long-form audio/video transcripts for good retrieval.

We're looking for a senior backend engineer to own the server side and cloud infrastructure for a secure healthcare mobile app. This is the person who stands up our AWS environment correctly on day one, moves us off a single VPS, and closes our HIPAA gap. The app serves healthcare field representatives who need secure workflows for managing documents, profile information, status visibility, and access-related functionality. You'll own the API, the cloud migration, and the security foundation the rest of the product depends on. What you'll own: - Backend/API: Python + async FastAPI, PostgreSQL + SQLAlchemy, Redis + background jobs, keeping business logic in the API (thin-client pattern) - AWS/DevOps: migrating off a single VPS to AWS (ECS Fargate, RDS, ElastiCache, S3), infrastructure-as-code (Terraform or CDK), CI/CD, secrets management, observability - A well-architected AWS landing zone with separate non-prod and prod environments (no real customer/PII data in non-prod) - Amazon Bedrock migration so document parsing is HIPAA-covered - Security: secure document handling, auth/session workflows, least-privilege IAM, encryption, audit logging - Building with SOC 2 in mind from day one Must have: - Python with async web frameworks (FastAPI strongly preferred) - PostgreSQL and an ORM with real migration experience (SQLAlchemy a plus) - Hands-on AWS: ECS/Fargate or equivalent, RDS, S3, IAM, Secrets Manager - Infrastructure-as-code (Terraform or CDK) and CI/CD (GitHub Actions) - Security fundamentals: token auth, secrets handling, least-privilege IAM Strongly preferred: - Redis / background job queues - HIPAA or other regulated-data experience (PHI, encryption at rest/in flight, audit logging) - Amazon Bedrock or other LLM-API integration experience - Docker / containerization

About Us We are a forward-thinking AI enterprise software company building governance solutions. Our systems combine Python engineering, Natural Language Processing, and Machine Learning to deliver secure governance solutions. We’re seeking a Back-End Python Engineer with expertise in AWS deployed applications, GITHUB CI/CD pipelines, DJANGO, ML Pipelines, Endpoint Integration, Sagemaker, containerization, Use of AI to design front end applications and debug code. Key Responsibilities Design, develop, and maintain back-end services in Python to support software application Debug Application for Quality and Assurance Build Data Connectors for Application Integration Implement new features with front end design as needed Containerize and deploy services across AWS infrastructure. Build and scale RESTful APIs and microservices (Django + DRF) that integrate into automated pipelines. Tune system performance (network, I/O, memory, GPU utilization) for optimization. Architect and maintain databases (SQL & NoSQL), ensuring query optimization, high availability, and caching (Redis). Integrate background processing (Celery) and real-time communication (WebSockets) into containerized environments. Collaborate with DevOps, front-end, and AI/ML teams to deliver end-to-end automated workflows. Apply best practices in system design (SOLID, DRY, KISS), Python standards (PEP8), and secure infrastructure deployment. Qualifications Core Skills Proficiency in Python (OOP, async, functional programming, data structures). Expert-level knowledge of AWS Infrastructure (deployment, operators, CI/CD, scaling). Strong background in containerization (Docker, Podman) and Kubernetes-native orchestration patterns. Experience supporting AI Dev automation workflows and integrating back-end services with automated pipelines. Deep knowledge of Django & DRF: ORM, serializers, view sets, permissions, HTTP methods. Advanced database design & optimization for high-throughput applications. Familiarity with Redis caching, Celery task queues, and uWSGI/ASGI communication layers. Solid testing skills (pytest/unittest) and CI/CD pipelines with Git. Preferred Expertise Hands-on experience with GPU-enabled workloads and hardware acceleration in containerized environments. Familiarity with infrastructure automation tools (Ansible, Terraform, or similar). Agile/Scrum team experience and use of task tracking (Jira, Trello). What We’re Looking For We want an engineer who: PRIORITIZES SECURITY OF SYSTEMS AND INFRASTRUCTURE ACROSS SECURITY FRAMEWORKS Builds automation-first systems that support AI Dev workflows from code to deployment. Thinks about performance and scalability at the infrastructure + software level. Collaborates across teams (DevOps, AI/ML, product) to deliver fully integrated, automated platforms.

Contract Full Stack Engineer – Manufacturing Data Platform Development Overview We are seeking an experienced full stack software engineer to design and implement a cloud-based manufacturing data platform to support device production testing, quality tracking, and manufacturing analytics. Our current manufacturing test workflow uses a Windows-based test application that logs production test data into Google Sheets. As we scale production and introduce contract manufacturing, we are transitioning to a structured cloud database architecture using Supabase and PostgreSQL. The contractor will be responsible for establishing the backend data infrastructure, assisting with integrating existing manufacturing test software with the new platform, and developing flexible data visualization and analytics tools for engineering and manufacturing teams. This is an opportunity to build a foundational manufacturing data system that will support production scaling, quality improvements, and future automation. Scope of Work 1. Database Architecture & Supabase Implementation Design and implement a production-ready database architecture using: Supabase PostgreSQL REST APIs Cloud-based authentication and security Responsibilities include: Define database schema for manufacturing test data Create tables and relationships for: - Device serial numbers - Production lots - Firmware versions - Hardware revisions - Test results - Calibration data - Operator information - Failure codes - Manufacturing history - Implement database indexing and optimization - Establish backup and data retention strategies - Configure user access permissions for internal teams and manufacturing partners 2. Manufacturing Test Software Integration Our existing Windows test application currently performs device testing and uploads results to Google Sheets. The contractor will: -Assist team members with replacing Google Sheets API integration with database/API integration -Develop secure REST API endpoints -Integrate authentication between the test application and backend -Design reliable data upload workflows -Handle offline operation and data synchronization considerations -Ensure robust error handling and logging Preferred experience: -C# / .NET desktop applications (current data gathering tools) -REST API development -Cloud database integration 3. Manufacturing Dashboard & Data Analytics Platform -Develop an intuitive interface for engineering, manufacturing, and quality teams. The platform should provide: High-Level Production Dashboards Examples: -Units tested per day/week/month -Production throughput -Pass/fail rates -First pass yield -Failure trends -Failure Analysis Tools Ability to analyze: -Failure categories -Failed test steps -Firmware correlation -Hardware revision correlation -Production lot trends -Time-based trends -Flexible Data Exploration The system should provide spreadsheet-like flexibility similar to Google Sheets pivot tables. Desired capabilities: -Dynamic filtering -Sorting -Grouping -Pivot-style summaries -Custom reports -Export capability (CSV/Excel) -User-defined views The implementation can be: -Web application -Desktop Windows application -Hybrid solution The priority is flexibility, maintainability, and ease of use by engineering teams. Technical Requirements Required experience: -PostgreSQL database design -Supabase platform experience -REST API development -Full stack application development -Data visualization/dashboard development -Cloud application architecture -Authentication and user management Preferred experience: -Quality systems -Production test software -Electronics manufacturing data -Statistical process control (SPC) -Yield analysis Preferred Technology Experience Backend: -PostgreSQL -Supabase -REST APIs -Python, Node.js, C#, or similar backend technologies Frontend: -React / Next.js -TypeScript -Dashboard frameworks -Data visualization libraries Desktop (optional): -C#/.NET -WPF -WinUI Analytics: -SQL reporting -Data aggregation -Pivot-style analysis tools Deliverables Phase 1 – Database Foundation -Supabase project setup -Database schema -Authentication system -API architecture documentation Phase 2 – Test Software Integration -Updated Windows tester integration -Data upload API -Error handling -Production validation Phase 3 – Manufacturing Dashboard -Production overview dashboard -Yield reporting -Failure analysis interface -Flexible data exploration tools Phase 4 – Documentation & Handoff -Database documentation -API documentation -Deployment instructions -Training for internal engineering team Contract position: Estimated duration: 3–6 months initially -Potential for ongoing support as manufacturing systems expand -Remote acceptable Ideal candidate: -Independent engineer comfortable owning architecture decisions -Able to work directly with engineering leadership -Comfortable building an initial system quickly while maintaining long-term scalability About the Product We are developing a battery-powered consumer electronics device transitioning from engineering prototypes into scaled manufacturing. The manufacturing data platform will become a critical component of our production infrastructure, supporting internal engineering teams and external manufacturing partners.

Job Description Summary We're looking for a senior full stack JavaScript / TypeScript engineer to join an active client engagement immediately. The work centers on taking a Chrome Extension from MVP to production, alongside a companion SaaS application used by the team managing the extension. General information This engagement is part of a larger product build for one of our clients. An MVP of the Chrome Extension has already been developed, and the focus now shifts to building, hardening, scaling, and shipping a production-ready release. The SaaS application serves the internal team that manages and operates the extension, and will be built in parallel. You'll be joining an existing engineering team with a project manager already in place. The role requires someone who can orient quickly in an active codebase, collaborate closely with teammates, and interface with project stakeholders when needed. Work is coordinated through Jira, and the team communicates via Slack and Zoom. You'll be onboarded with a Microsoft account that provides SSO access to the tools and systems you need from day one. Development work is performed by connecting to a secure dev workspace directly from your local IDE. Tasks and Deliverables - Take the Chrome Extension from MVP to a stable, production-ready release. - Contribute to the development of a companion SaaS application for the client's internal team. - Integrate into the existing engineering team and align with the project manager on priorities and delivery. - Engage with project stakeholders directly as needed throughout the engagement. - Maintain code quality, documentation, and engineering standards appropriate for a production product. Required experience - Senior-level full stack JavaScript and TypeScript experience. - Demonstrated experience building and shipping Chrome Extensions. - Strong front-end engineering skills, including a modern framework such as React. - Solid back-end experience with Node.js and REST API development. - Proven ability to onboard into an existing codebase and contribute without a long ramp-up period. - Experience working within a structured engagement — alongside a PM, an existing team, and external stakeholders. - Familiarity with Jira for task tracking and project coordination. - Excellent English communication skills; US-based or US timezone required. - Availability during standard US business hours, Monday through Friday. Nice to have: - Experience with SaaS architecture, including multi-tenant application patterns. - Familiarity with Chrome Extension APIs including content scripts, background service workers, and the Chrome storage API. - Background working in agency or client-services environments. Engagement highlights - Step into an active, well-scoped project with established project management and a clear path to production. - Work across two connected workstreams — a Chrome Extension and a SaaS platform — with room to take meaningful ownership. - Join an engaged team with strong client-side collaboration and defined stakeholder involvement. Additional information All candidates selected for engagement are subject to a standard background check prior to onboarding.

Sphere Inc. is building a new AI-powered SaaS platform for the U.S. healthcare industry. We're looking for a senior engineer who enjoys building products from scratch, making technical decisions, and shipping production-quality software. This is an MVP that will quickly transition into production, so we're looking for someone who is comfortable owning architecture, development, deployment, and AI integration. We're developing a HIPAA-compliant Care Coordination Platform that helps physicians, nurses, and care coordinators manage chronic care patients more efficiently. A patient with diabetes and hypertension visits a primary care clinic. Instead of manually reviewing hundreds of pages of clinical notes, lab results, discharge summaries, and specialist referrals, the provider uploads the patient's records. The AI platform will: - Extract structured medical information from uploaded documents - Generate concise clinical summaries - Highlight medication conflicts and missing follow-ups - Detect abnormal lab trends - Recommend preventive care actions based on clinical guidelines - Generate visit notes and patient-friendly summaries - Allow physicians to approve, edit, or reject AI-generated recommendations - Maintain complete audit trails for HIPAA compliance The system must never expose PHI to unauthorized users and must meet healthcare security best practices. You'll work directly with our founders to design and build the MVP. Responsibilities include: - Design scalable backend architecture - Develop responsive React/Next.js frontend - Build secure REST APIs - Integrate OpenAI, Anthropic, or Azure OpenAI - Implement Retrieval-Augmented Generation (RAG) - Build document ingestion pipelines - Implement vector search - Build role-based access control - Design PostgreSQL database schema - Implement authentication and authorization - Deploy production infrastructure on AWS or Azure - Write automated tests - Optimize AI performance and costs Candidates should understand: - HIPAA Security Rule - PHI handling - Encryption at rest and in transit - Audit logging - Role-based permissions - Secure cloud architecture - Least-privilege access - Secrets management - BAA-aware cloud services Previous healthcare or medical SaaS experience is highly preferred. To Apply Please include the following in your proposal: - Links to recent AI SaaS or healthcare projects - Your GitHub profile - A brief description of your HIPAA or healthcare experience - 5–10 minute Loom video walkthrough of a HIPAA-compliant AI or SaaS project you personally built, highlighting the architecture, technical decisions, and your specific contributions.