Senior AI / Full-Stack Engineer (Contract) Remote | Contract (1099) | 10–25 Hours/Week | Initial 6–8 Week Engagement About Us We are an early-stage startup developing an AI-powered SaaS platform for the healthcare industry. Our product leverages modern AI technologies, cloud infrastructure, and data analytics to solve complex problems for healthcare organizations. Our MVP is already under active development, and we are looking for an experienced engineer to work alongside our technical lead to help bring the product to market. Because we are building proprietary technology and have not yet publicly launched, additional information about the product, technical architecture, and long-term roadmap will be shared with qualified candidates after execution of a mutual nondisclosure agreement (NDA). About the Role You will work directly with our technical lead on an existing codebase to accelerate development of our MVP. This is a hands-on engineering role focused on building production-quality software in a fast-paced startup environment. The ideal candidate is comfortable joining an active project, quickly understanding an existing architecture, and independently owning technical components from design through implementation. Responsibilities Build and enhance AI-powered application features Develop backend APIs and services Design and implement data processing pipelines Work with structured and unstructured datasets Improve application performance, scalability, and reliability Build customer-facing functionality and internal tools Debug, test, and optimize production code Collaborate closely with our technical lead on architecture and implementation Contribute ideas that improve product quality and engineering efficiency Required Qualifications 5+ years of professional software engineering experience Experience building production SaaS applications Strong backend development experience Experience integrating large language models into production software Experience with AWS cloud services Strong API development skills Experience with SQL databases Strong Git workflow and collaborative development experience Ability to quickly understand and contribute to an existing codebase Excellent communication skills Self-motivated and comfortable working independently Preferred Qualifications Experience with any of the following is a plus: Python TypeScript or JavaScript React PostgreSQL Docker Amazon Bedrock Claude, OpenAI, or other LLM APIs AI document processing Retrieval-Augmented Generation (RAG) Vector databases Healthcare technology or HIPAA-compliant applications What We’re Looking For We’re looking for someone who enjoys building real products—not just prototypes. You should be someone who: Thrives in startup environments Takes ownership of your work Writes clean, maintainable code Learns new technologies quickly Communicates clearly and proactively Is excited about helping build a product from the ground up Engagement Details Remote Approximately 15–25 hours per week Initial 6–8 week engagement Opportunity for ongoing work as the company grows Flexible schedule with regular collaboration alongside our technical lead How to Apply Please include: A brief summary of your background and relevant experience Links to GitHub repositories or production applications (if available) A description of one production AI application you’ve helped build Your availability over the next two months Your hourly rate The AI development tools you regularly use (e.g., Cursor, Claude Code, GitHub Copilot, Windsurf, etc.) and how they fit into your workflow Qualified candidates advancing to the interview process will be asked to execute a mutual NDA before receiving detailed information regarding the product, technical architecture, and proprietary technology.

We are looking for a Back-End Developer to lead the development of back-end services that enhance enterprise security, streamline identity management, and ensure secure access throughout the organization. In this crucial role, you will be responsible for designing and implementing systems that authenticate users, manage user permissions, safeguard sensitive business information, and facilitate secure communication between various internal applications and enterprise platforms. This position differs from traditional back-end roles, which typically focus primarily on business logic and data processing. Instead, this role emphasizes the creation of a highly secure back-end infrastructure that protects organizational resources while delivering reliable, scalable authentication and authorization services to meet our enterprise's complex needs. Your contributions will directly impact compliance initiatives, strengthen cybersecurity efforts, and enhance the protection of mission-critical business systems. As an ideal candidate, you will enjoy tackling intricate security challenges, designing distributed back-end architectures, and developing resilient infrastructures to effectively defend our enterprise against emerging threats. In this role, you will closely collaborate with cross-functional teams, including front-end developers, security experts, and system architects, to ensure that security considerations are integrated into every aspect of the development process. Additionally, you will be expected to stay updated with the latest trends in cybersecurity and back-end technologies, contributing innovative solutions that align with industry best practices. The following are the required skills and qualifications for this position: - Strong experience with one or more of the following programming languages: Java, Kotlin, C#, Node.js, Go, or Python. - Experience in designing secure RESTful APIs and distributed back-end services. - Knowledge of authentication frameworks, including OAuth 2.0, OpenID Connect, and JWT. - Experience working with both relational and NoSQL databases. - A solid understanding of back-end security principles and secure coding practices. - Familiarity with Docker, Kubernetes, or cloud-native back-end deployments. - Excellent analytical and problem-solving skills.

Title: Data Enrichment Engineer Job Description: We need an experienced Data Engineer to enrich a large database of B2B records with missing emails, phone numbers, names, titles, and LinkedIn profile URLs. You will: • Build a reliable enrichment pipeline using APIs from ZoomInfo, LinkedIn Sales Navigator (or partners like Evaboot), and Salesgear. • Handle CSV processing, deduplication, fuzzy matching, confidence scoring, and email/phone validation. • Implement sampled manual QA process and deliver clean, enriched data + reusable scripts. Requirements: • Strong Python or .NET/C# skills. • Proven experience with sales intelligence APIs • Experience processing large datasets (20k+ records). • Attention to data quality and compliance. Please share similar past projects and list which provider APIs you have implemented.

We are looking for an exceptional Full-Stack Engineer who enjoys solving challenging technical problems across the entire technology stack—from modern user interfaces to scalable backend services, cloud infrastructure, and AI-assisted software development. This engagement begins as a contract position with strong potential to become a long-term member of our engineering team. What You’ll Be Building This is not a typical CRUD application. You will be working on a technically sophisticated SaaS platform involving: • AI-powered healthcare analytics • Large-scale clinical and pharmacy datasets • Complex SQL and data processing pipelines • Interactive analytics dashboards • Modern React-based user interfaces • High-performance backend APIs • Enterprise system integrations • Cloud-native infrastructure • AI-assisted software engineering workflows If you enjoy designing scalable systems, solving complex technical challenges, and building products that have real-world impact, we’d love to hear from you. Responsibilities You will work closely with our founders and engineering team to: • Design and develop new product features from frontend through backend. • Build intuitive, responsive, and high-performance web applications. • Design scalable backend services and REST/GraphQL APIs. • Design and optimize relational databases and complex SQL queries. • Improve application performance, scalability, and reliability. • Build integrations with external healthcare systems and third-party services. • Participate in architectural and technology decisions. • Debug and resolve complex production issues. • Write clean, maintainable, well-tested production code. • Contribute to engineering best practices and continuous improvement. Required Technical Skills Frontend • React • TypeScript • Modern JavaScript • Responsive web development • Component-based architecture • State management Backend • Expert-level Python • Node.js • FastAPI, Django, or Flask • REST APIs • GraphQL • Authentication & Authorization • Asynchronous programming Databases Strong experience with relational databases including: • PostgreSQL • MySQL • SQL query optimization • Indexing • Performance tuning • Data modeling • Database design Cloud & Infrastructure • Docker • Kubernetes • AWS • CI/CD pipelines • Git Modern AI-Assisted Development We strongly prefer engineers who actively leverage modern AI-assisted software development tools to improve productivity while maintaining exceptional engineering quality. We view AI as a productivity multiplier—not a replacement for software engineering expertise. The ideal candidate understands how to use AI effectively while applying sound engineering judgment, architecture, debugging skills, and rigorous code review. What We’re Looking For We’re looking for engineers who: • Think like software architects—not just programmers. • Can independently solve complex technical problems. • Take ownership of their work. • Write elegant, maintainable, and well-tested code. • Have excellent debugging and troubleshooting skills. • Make thoughtful architectural decisions. • Learn quickly and continuously improve. • Communicate clearly and professionally. • Enjoy working in a fast-moving startup environment. We value engineering excellence, problem-solving ability, and sound technical judgment far more than years of experience alone. Nice to Have Experience with one or more of the following is a plus: • Large-scale analytics platforms • Event-driven architectures • Redis • Elasticsearch • Message queues • Data engineering • Performance optimization • DevOps Required Application Questions To help us identify the strongest candidates, please answer the following questions in your proposal. 1. Describe the most technically challenging application you have built. Please include: • Overall system architecture • Your specific role • Technologies used • The biggest technical challenge • How you solved it • What you would do differently today 2. Which area of software engineering do you enjoy the most, and why? Examples: • System architecture • Backend development • Frontend development • Databases • Performance optimization • Infrastructure • Debugging • AI applications

About us We're a growing multi-location dental group in South Florida. We've already designed a fleet of 8 internal automation agents — complete written specs, working code templates, and infrastructure in place. We need a skilled developer to build and deploy them. This is implementation work with clear specs, not open-ended R&D. What you'll build Python automation agents that pull data from our practice management system's REST API (auth pattern already proven in production scripts you'll receive) Claude API integrations (drafting appeal letters, patient texts, weekly analyst reports) with a strict de-identification pattern we'll teach you Firebase (Firestore) reads/writes and light updates to existing web dashboards (deployed via Netlify) Scheduling via Windows Task Scheduler; simple HTML email reports Occasional work with HubSpot API and Google Sheets You're a fit if you have 3+ years Python, comfortable with REST APIs, JSON, and error handling Firebase/Firestore experience Experience integrating LLM APIs (Anthropic/OpenAI) Ability to work from an existing codebase and follow written specs precisely Strong written English and reliable weekly availability (EST business hours overlap) Healthcare/HIPAA experience a plus, not required — but you must be willing to learn and follow our PHI handling rules exactly Requirements (non-negotiable — please do not apply if you cannot meet all of these) Located in the United States with US work authorization. No offshore contractors or agencies. Completed W-9 on file before any work begins Background check required (we order and pay for it) Signed NDA and HIPAA Business Associate Agreement (BAA) required before you are granted any access to systems containing Protected Health Information (PHI). This is a healthcare environment — no exceptions. Video call interview with camera on; government ID verification All access granted via individually credentialed accounts (no shared logins), revocable by us at any time How we'll work Paid test task first: build one small agent (~4–6 hrs) from our spec using our template. Paid at your full rate. Then ~10–20 hrs/week building out the remaining agents, one at a time, each with a written "done when" acceptance test After the initial build-out (est. 60–100 hours total), ongoing part-time maintenance and new features for the right person Weekly check-in call; async otherwise To apply Briefly describe a Python + API automation project you built (what it pulled, what it produced, how it was scheduled) Confirm you're US-based and willing to complete a background check and sign a BAA Your hourly rate and weekly availability Start your proposal with the word "HUDDLE" so we know you read this

We’re hiring a Senior AI Engineer to help deliver AI healthcare product fix which is in production. Must haves Build multi-agent systems (LangGraph or equivalent) Shippped RAG over enterprise docs/knowledge bases Handled agent memory and context management Wires tools/APIs into complex workflow automation 5+ years Python; strong FastAPI in production Shipped LLM apps used by real customers Hands-on with LangGraph/LangChain, vector DBs, PostgreSQL, Redis, Docker Nice-to-have: AWS, Azure, or GCP deployments

We are looking for an experienced API Integration Engineer to help finalize and optimize integrations for our security platform. The ideal candidate will have strong experience working with third-party APIs, authentication mechanisms, cloud-based AI services, and troubleshooting production integrations. Your primary responsibility will be to validate and configure API credentials for URL classification and IP reputation services, identify and integrate the correct Large Language Model (LLM) endpoint (OpenAI, Claude, Azure OpenAI, or custom/internal models), and ensure the overall system is secure, reliable, and high performing. This is a short-term contract with the potential for ongoing work if the engagement is successful. Responsibilities 1. Verify and configure API credentials for: - URL Classification services - IP Reputation services - Threat Intelligence APIs 2. Validate authentication methods including: - API Keys - OAuth 2.0 - Bearer Tokens - JWT 3. Identify the correct LLM provider and endpoint, including: - OpenAI - Claude (Anthropic) - Azure OpenAI - Google Gemini - Internal/custom LLM deployments 4. Confirm that all required API keys, secrets, and access tokens are correctly configured. 5. Test API connectivity and verify successful authentication. 6. Troubleshoot integration issues across development and production environments. 7. Optimize API performance, latency, retry mechanisms, and error handling. 8. Collaborate closely with our development team to resolve integration challenges. 9. Document the configuration process and provide recommendations for future maintenance. 10. Ensure best practices for credential management and secure secret storage. Required Skills 1. Strong experience integrating REST APIs 2. Experience with authentication protocols: - API Keys - OAuth2 - JWT - Bearer Tokens 3. Experience working with AI APIs including one or more of: - OpenAI - Anthropic Claude - Azure OpenAI - Google Gemini 4. Familiarity with URL reputation and threat intelligence services 5. Experience integrating IP reputation APIs 6. Strong debugging and troubleshooting skills 7. Knowledge of HTTP/HTTPS, JSON, webhooks, and API testing tools (Postman, Insomnia, etc.) 8. Experience with Python, Node.js, or similar backend technologies 9. Familiarity with cloud environments (AWS, Azure, or GCP) To Apply Please include the following in your proposal: - Brief overview of your experience with API integrations. - Examples of projects involving OpenAI, Claude, Azure OpenAI, or other LLM integrations. - Experience integrating URL classification, IP reputation, or cybersecurity APIs. - Your preferred development stack. We are looking for a highly skilled engineer who can quickly identify integration issues, ensure secure API connectivity, and help us deliver a robust, production-ready solution. If you have strong experience with API authentication, AI integrations, and troubleshooting complex systems, we'd love to hear from you.

I have an archive of approximately 1600 Epson Print CD projects, the majority in EC4 format (approximately 80%), with the remainder in EC3. This is an automation project, not an artwork recreation project. I am looking for an experienced Windows automation/software developer to create a reusable Windows utility that works with the Epson Print CD application. Project Background Epson Print CD saves projects in the proprietary .EC4 format. Epson's current DiscProducer software does not directly import EC4 project files, so I am looking for an automated solution that uses Epson Print CD to generate high-quality PNG exports while preserving the original project layout. The utility should: Automatically open EC4 project files. Render each project using Epson Print CD. Export each project as a high-quality PNG image. Preserve artwork placement, scale, disc alignment, text positioning, and overall image quality. Process multiple files automatically with minimal or no manual intervention. Preserve original filenames where practical. Phase 1 – Paid Proof of Concept The posted budget applies only to this phase. For the proof of concept, I will provide approximately 10–20 representative EC4 files. The attached sample files are provided only to illustrate the variety of artwork and layouts contained in my archive. They are not the complete proof-of-concept dataset. The objective of Phase 1 is to demonstrate that the proposed automation can reliably produce PNG files that preserve the original project layout and print quality. Success Criteria A successful proof of concept should demonstrate that the automation can: Process multiple EC4 files automatically. Produce consistent, high-quality PNG output. Preserve the original artwork layout and print quality. Operate reliably enough to be expanded into a production workflow. If Phase 1 is successful, I intend to negotiate a separate fixed-price agreement (or additional milestones) for: Completion of the production-quality automation utility. Additional refinements, if necessary. Conversion of the remainder of my archive, if mutually agreed. Preferred Experience Experience with one or more of the following is preferred: Windows desktop automation AutoHotkey Python Win32 API GUI automation Windows desktop application development Macro automation Experience with Epson Print CD or similar Windows desktop applications is helpful but not required. When Responding Please include: A brief description of similar Windows automation projects you've completed. Your proposed approach for automating this workflow. Any questions you have before beginning. I am looking to establish a long-term working relationship with the right developer if the proof of concept is successful. I welcome alternative technical approaches if you believe there is a more effective solution than the one described above.

# Upwork Job Posting ## Go-to-Market (GTM) Engineer – AI, Automation & Growth for Customs Brokerage (3-Month Contract) ### About Us We are a fast-growing U.S. Customs Brokerage and Trade Compliance firm looking to transform how importers find and work with customs brokers. Our vision is to become one of the most technology-driven customs brokerages in the United States by leveraging AI, automation, and data to improve customer acquisition, client experience, and operational efficiency. We are looking for an experienced **Go-to-Market (GTM) Engineer** who can combine software engineering, AI, sales automation, and growth strategies into scalable systems. This is **not** a traditional marketing position. You will be building technology that generates revenue. --- # Contract Duration **3 Months (with potential for long-term engagement)** Expected commitment: * 20–40 hours per week * Flexible schedule * Remote --- # Project Goals By the end of this contract, we want to have a repeatable system that: * Generates qualified importer leads * Automates outbound prospecting * Tracks and nurtures prospects * Uses AI to personalize communications * Integrates sales, marketing, and CRM workflows * Provides dashboards for business performance --- # Responsibilities You will design and build systems including: ### 1. Importer Lead Generation * Build databases of U.S. importers * Analyze import data * Score potential customers * Identify high-value prospects * Build workflows for ongoing lead generation --- ### 2. CRM & Sales Automation Integrate and automate platforms such as: * HubSpot * Pipedrive * Salesforce * Airtable * Notion Create workflows for: * Lead routing * Email sequences * Pipeline automation * Follow-up reminders * Customer lifecycle management --- ### 3. AI Sales Automation Build AI-powered systems that can: * Research prospects * Generate personalized cold emails * Draft LinkedIn outreach * Prepare sales call notes * Summarize meetings * Recommend follow-up actions Experience with OpenAI APIs, Claude, Gemini, or similar AI platforms is highly desirable. --- ### 4. Data Engineering Develop pipelines using: * Python * APIs * SQL * Web scraping (where appropriate and compliant) * ETL workflows Build importer intelligence databases that combine: * Company information * Import activity * Contact enrichment * Lead scoring --- ### 5. Business Intelligence Create dashboards showing: * Lead generation * Conversion rates * Sales pipeline * Revenue metrics * Customer acquisition cost (CAC) * Marketing ROI --- ### 6. Website Growth Recommend and implement tools that improve conversion, such as: * Interactive duty calculators * Customs compliance checklists * HTS lookup tools * AI chat assistants * Lead capture forms * Landing pages --- ### 7. Automation Automate repetitive business tasks using tools such as: * n8n * Zapier * Make * Python scripts * APIs --- # Technical Requirements Strong experience with several of the following: * Python * JavaScript/TypeScript * SQL * REST APIs * OpenAI API * LangChain or similar AI frameworks * HubSpot * Zapier * n8n * Make * Git/GitHub * Docker (preferred) * Cloud platforms (AWS, Azure, or GCP) * Web scraping * Data visualization --- # Nice to Have Experience in one or more of these industries: * Customs Brokerage * Freight Forwarding * Logistics * Supply Chain * International Trade * B2B SaaS Knowledge of: * U.S. Customs (CBP) * HTS Classification * ACE * Import/Export Compliance is a major advantage but not required. --- # Deliverables ## Month 1 * Understand business processes * Build CRM structure * Develop importer database * Set up AI workflows * Build first lead generation pipeline * Deliver initial dashboard *Launch automated outbound campaigns --- ## Month 2 * Build AI prospecting assistant * Create reporting dashboards * Integrate CRM automations * Develop customer scoring model --- ## Month 3 * Optimize workflows * Build additional AI tools * Document systems * Train internal team * Deliver production-ready automation stack --- # Success Metrics At the end of the contract we expect to have: * A scalable lead-generation engine * Automated outreach workflows * Centralized CRM * AI-assisted sales processes * Real-time reporting dashboards * Documented systems ready for long-term growth --- # What We're Looking For We value builders who enjoy solving business problems with technology. You should be comfortable working independently, proposing ideas, and delivering practical solutions rather than waiting for detailed instructions. If you've built growth systems that combine AI, automation, software engineering, and sales, we'd love to hear from you. --- ## To Apply Please include: 1. A brief introduction about yourself. 2. Examples of AI or automation projects you've built. 3. Links to GitHub, portfolio, or case studies (if available). 4. Your experience with CRM integrations and sales automation. 5. Your preferred hourly rate. 6. Why you're interested in this project.

We are seeking an experienced developer to build AI platforms that automate internal processes. The ideal candidate will have a strong background in AI development and a proven track record of delivering successful automation projects. Responsibilities include designing and implementing AI solutions, integrating with existing systems, and optimizing processes for efficiency. If you have a passion for AI and automation, we would love to hear from you!