Join our immigration law firm in NYC to co-present a 15-minute government API demo. We need a Python/Flask developer to showcase our custom CRM's capabilities. This is a short-term engagement ideal for someone with experience in API integration and presentation. The role involves collaborating with our team to effectively demonstrate the API's features to a government audience.

Overview We are looking for an experienced Python developer with strong technical expertise and exceptional communication skills. This role is ideal for someone who is comfortable discussing technical concepts with clients, participating in interviews, and collaborating closely with stakeholders. We value developers who can not only write clean, scalable code but also clearly explain their thought process, ask the right questions, and represent our team professionally during client meetings and technical interviews. Responsibilities - Design, develop, and maintain Python applications and backend services. - Build and integrate APIs, databases, and third-party services. - Participate in technical discussions with clients and internal teams. - Attend interviews with excellent verbal communication. - Write clean, maintainable, and well-tested code. - Troubleshoot and optimize existing systems. Required Skills - 5+ years of professional Python development experience. Strong knowledge of: Python, FastAPI, Django, or Flask, REST APIs and microservices, PostgreSQL, MySQL, or MongoDB, AWS, Docker, and CI/CD practices - Experience with system design and scalable architectures. - Excellent English communication skills (written and spoken). - Comfortable participating in technical interviews and client-facing discussions. - Ability to explain technical concepts clearly to both technical and non-technical stakeholders. Nice to Have - Experience with cloud infrastructure and DevOps practices. - Experience with AI/ML integrations or data pipelines. - Previous consulting or agency experience. - Experience working with distributed remote teams.

Looking for a Python developer with sports analytics experience to build a college football grading engine. The full specification includes 34 custom metrics, requiring a deep understanding of football analytics and data modeling. The project involves creating a grading engine that can process large datasets efficiently and accurately. Ideal candidates will have experience with data visualization and machine learning.

I am looking for a Python/full-stack dev for a short paid gig (1-2 weeks) for my startup, Vera. We've got a working prototype (Next.js frontend + a solid, tested Python core) that needs three things: 1) confirm an LLM extraction step actually works against the Anthropic API, 2) wrap the core in a lightweight FastAPI layer, 3) deploy (Render/Railway + Vercel). Codebase is clean and Claude Code friendly. I am looking for someone who could also be interested, if the fit is right, in being a technical cofounder!

As a Senior Python Data Engineer at UrbanSDK, you will play a pivotal role in designing, developing, and maintaining both processing and backend components of our web applications. You will leverage your expertise in Python for backend services, ensuring seamless integration and performance. A key aspect of this role will involve designing and developing workflow tasking systems to manage complex processes and tasks efficiently. Additionally, you will work with big data technologies to handle and process large-scale data efficiently. You will also work extensively with PostGIS for geospatial data management and utilize a range of technologies and tools to deliver high-quality software solutions. Key Responsibilities: Backend Development: Develop and maintain backend services using Python, leveraging Flask for web services, SQLAlchemy for ORM, and other Python packages like GeoPandas, Pandas, and PySpark for data processing and analysis. Workflow Tasking System: Design and develop workflow tasking systems to automate and manage complex workflows to build analytics based on anomalies or thresholds. Data Handling: Work with csv,geojson, shapefiles and other geospatial data, ensuring proper handling and integration within our applications. Big Data Processing: Utilize big data technologies such as Apache Spark (via PySpark) to process and analyze large datasets. Implement data processing pipelines to handle large file processing. Database Management: Design and optimize flat file data lakes for efficient data management and retrieval in big data contexts. Integration and Deployment: Utilize Docker and Kubernetes for containerization and orchestration in our CI/CD pipelines. Cloud Services: Manage and deploy applications on AWS, leveraging cloud services to enhance application scalability and performance. DevOps Practices: Collaborate with the DevOps team to maintain and enhance infrastructure, ensuring efficient and reliable application operations. Collaboration: Work closely with cross-functional teams including UX/UI designers, data scientists, and other developers to deliver high-quality software solutions. Mentorship: Provide technical leadership and mentorship to junior developers, fostering a collaborative and innovative work environment. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 8 years of experience in full stack development with a strong focus on frontend and backend technologies. Must Haves: Backend Skills: Expertise in Python with hands-on experience in Flask, SQLAlchemy, and data processing using Pandas, GeoPandas, and PySpark. Workflow Tasking Systems: Proven experience in designing and developing workflow tasking systems, including task automation and management. Big Data Technologies: Experience with big data technologies, particularly Apache Spark (PySpark), and handling large-scale data processing. Database Skills: Extensive experience with PostgreSQL and PostGIS for geospatial data management. Data Formats: Familiarity with shapefiles and their integration into applications. Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work effectively in a team environment. Nice to haves: Frontend Skills: Proficiency in React and experience with libraries such as Mapbox and Mapbox-GL. Containerization and Orchestration: Experience with Docker and Kubernetes. Cloud Platforms: Experience with AWS and cloud service management. Messaging Systems: Knowledge of RabbitMQ for messaging and task queuing.

I am looking for an experienced Python developer or algorithm specialist to rigorously test and validate a few scripts that I have. The script locates stocks that have been trending for 2-3 days on the MACD zero line PRE BREAKOUT . Your primary goal will be to stress test the script, identify edge cases, very output accuracy, and ensure robust performance under various conditions. Code review: Evaluate the existing code base for efficiency, security, and best practices. Functional Testing: run the script against sample data sets to verify output, accuracy Edge case testing: intentionally push the algorithm to its limits to find potential bogs, bottlenecks or failure points. Documentation: provide the detailed report of your findings, including reproduction steps for any bogs and recommendations for optimization. Requirements: proven experience in algorithm, testing the bargaining and performance optimization. Strong proficiency in python and relevant testing frameworks. Familiarity with API’s or database Excellent and analytical skills and attention to detail. To apply: please submit a brief proposal, including: 1. Examples of past projects where you tested de BAIRD or optimize an algorithm. 2. Your preferred mythology for testing this type of script.. 3. Your estimated turnaround time for this project..

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.

Senior Python Dev to Productionize a PPTX Medical Report Automation Prototype Overview We are a medical imaging report provider (Brain & Spine Injury Imaging Experts). We have a working Python prototype that auto-populates branded PowerPoint (.pptx) medical report templates and exports them to PDF. We need a senior developer to productionize it into a reliable, deterministic, well-documented tool. This is an automation/scripting engagement, not a slide-design job. What you'll build Harden and refactor our existing Python + python-pptx prototype into production-quality code. Fill locked-layout PowerPoint templates from structured input data (JSON) — text fields, findings lists, figure captions, measurements, and image placement. Generate required charts programmatically (e.g., NeuroQuant regional-percentile bar chart) rather than pasting static images. Export pixel-consistent PDFs (Aspose.Slides acceptable) that render identically on every run. Build a validation script that checks each generated report against required rules (footer text, page count, required fields, figure/label integrity) and flags deviations. Adapt the same engine to a second report type (Thoracic Spine) after the primary TBI report is accepted. Determinism requirement The tool must produce byte-for-byte consistent output across runs on the same input — same fonts, same layout, same positioning. Please describe in your proposal how you guarantee deterministic rendering and handle font embedding/substitution. Known Sample Drift — Footer Must Be Corrected The attached sample reports contain intentional footer inconsistencies that must NOT be reproduced. The signature-block footer currently varies across pages (some pages show only "Board Certified Radiologist," others add "Fellowship Trained in Musculoskeletal Imaging"). This drift is a known defect in the samples. The AUTHORITATIVE footer is the version we will supply in the spec sheet, and it must be applied identically on every page of every report. Your validation script must detect and reject any page whose footer does not exactly match the approved footer text. Do not treat the samples as the source of truth for footer content — treat the supplied spec as authoritative. Compliance / data handling This project involves medical reports. All development and testing will use de-identified sample data and dummy files only; you will not receive real patient PHI. A mutual NDA is required before we share the prototype code, templates, or licenses. Final report delivery to our HIPAA-compliant ShareFile account is handled with sandbox/test credentials during development; production keys are connected by us. Optional Phase 6 — Automated ShareFile Delivery Add a step that uploads the final PDF to a specified folder in our HIPAA-compliant ShareFile (Citrix) account via the ShareFile REST API, using a configurable case-to-folder mapping. Build/test with a non-PHI test folder and scoped test credentials; production credentials supplied and connected by client. Include setup instructions. Milestones (fixed price, ~$5,000 total, negotiable) Paid proof-of-concept: regenerate one approved sample report from our prototype on your environment, matching our reference output (small milestone — go/no-go gate). Production refactor of the fill engine and template handling. Deterministic PDF export + font handling. NeuroQuant chart generation + figure/label integrity. Validation script (footer, page count, required fields, drift detection). Spine report adaptation. (Optional Phase 6: ShareFile delivery.) A completion bonus applies for full delivery within 10 days of the awarded start. Required skills Python, python-pptx, Aspose, Microsoft PowerPoint, automation, data visualization, JSON data handling. API integration (ShareFile REST) a plus. To apply, please answer: Have you built PowerPoint/PPTX automation with python-pptx and/or Aspose? Share an example. How do you guarantee deterministic, pixel-consistent PDF output (fonts, layout)? Have you integrated the ShareFile (Citrix) API or similar OAuth-based file-storage APIs? Estimated timeline to complete Milestones 1–5. Attachments: De-identified sample reports (TBI and Spine) are attached for reference. Prototype code, real case data, and Aspose licenses will be provided after the NDA is signed.

Python Developer Needed for Custom Local Document Automation & Quote Generator Job Description: I am looking for an experienced Python developer to build a custom, local desktop tool (or simple local web app) to automate my daily product quotation workflow. The Problem: I generate custom quotes for products daily, which currently takes me about 30 minutes per quote. I have an archive folder of over 2,500 past quotes ([PDF and Word versions or each quote) containing detailed technical product descriptions, images of the product, price and a specific layouts that I want to use. What the Tool Needs to Do: User Interface: Provide a simple, clean interface ~ local on my Windows PC or browser based, whatever is easiest (I prefer m local directory) but I don't really care ... that does the following: First ... using the example quote attached, create a similarly styled template which the following information can be "pulled into". 1. User inputs Customer Name, Company Name, Current Date, and Quote Number. 2. User inputs part number(s) that they want to add into the quote template. 3. SW searches & extracts from my archive folder of 2,500+ past quotes ~ finds the MOST RECENT quote with the matching part number(s) based on the past quote date, 4. SW extracts product information and ports into our new WORD quote template. 5. SW populates extracted info along with new customer details into WORD template that I currently use. Note that there is a product image in the old quotes that will have to be pulled over. Required Skills: -- Python (strong scripting and text processing) -- PDF/Word parsing and generation (e.g., pdfplumber, python-docx, ReportLab) -- Simple GUI development (Streamlit, PyQt, or Tkinter) Please reply with a brief description of a similar document parsing or automation tool you have built.

We are building an early-stage real estate data platform that collects, cleans, enriches, and serves public-record and legal-notice data for real estate investors and professionals. This is not a greenfield build. We already have an existing backend repo with API routes, database models, migrations, scraping workers, tests, Docker configuration, and cloud deployment pieces. We need a strong backend engineer who can step into the existing system, understand what is working, identify what is risky, and help us get the backend stable enough for launch. The right person is practical, scrappy, and comfortable working in a startup environment where the goal is not perfection. The goal is to find the highest-leverage path to a reliable product. The platform involves: -Public-record and legal-notice data -Property data enrichment -API endpoints used by a frontend application -Data quality, reliability, and launch-readiness Current Backend Stack The backend is built primarily in Python and includes: -FastAPI -SQLAlchemy and Alembic -Postgres / Google Cloud SQL -MongoDB helper/caching layer -Scraping and ETL pipeline for public-record and legal-notice data -Playwright/Patchright-based scraping -reCAPTCHA-aware scraping workflows -LLM-based data extraction / AI-assisted parsing of unstructured notice data -Pydantic models -Google Cloud integrations: Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager, Cloud Storage, Artifact Registry -Docker -Pulumi infrastructure-as-code -GitHub Actions CI/CD -pytest, Ruff, uv You do not need to be world-class in every tool listed above, but you should be strong enough in Python backend systems, scraping/data pipelines, and cloud deployment to quickly understand the architecture and make sound technical decisions. What We Need Help With We need someone who can: -Review and understand the current backend architecture -Stabilize and improve the scraping / ETL pipeline for public-record and legal-notice data -Make sure public-record and legal-notice data is collected, parsed, stored, and served correctly -Improve backend APIs used by the frontend -Improve data quality checks for incomplete, missing, or inconsistent property records -Build and maintain property enrichment workflows using external data sources -Help design database models for richer property history and event tracking -Improve LLM-assisted parsing of unstructured legal notice data where appropriate -Debug deployment, CI/CD, Cloud Run, and infrastructure issues -Improve logging, error handling, monitoring, and observability -Strengthen test coverage where it matters -Help document the backend so future developers can contribute -Coordinate with our frontend developer to support product launch -Help prioritize backend work based on launch impact, data reliability, and technical risk Who This Is For You are likely a strong fit if you: -Like working inside existing codebases -Can diagnose messy systems without needing everything rewritten -Think in practical tradeoffs, not just ideal architecture -Are comfortable with incomplete documentation -Have experience with scraping/ETL workflows and unstructured data extraction -Can explain technical risks clearly to a non-technical founder -Prefer shipping useful improvements over debating perfect abstractions -Are willing to own outcomes, not just complete assigned tickets Who This Is Not For This is probably not the right fit if you: -Only want clean, fully documented codebases -Prefer to rebuild from scratch by default -Need enterprise-level process before making progress -Are an agency sending rotating developers -Only want tightly defined tickets with no ambiguity -Are uncomfortable with scraping, data quality, or production debugging Hiring Process We want to keep the hiring process practical and focused on real work. 1. Initial Screening We will review your proposal, background, and screening question responses. 2. Real-World Technical Scenario Strong candidates may be asked to respond to a specific backend issue from our current roadmap. We are looking for how you think, what tradeoffs you notice, and how clearly you communicate. 3. Paid Finalist Review A small number of finalists may be invited to complete a paid review of the existing backend codebase before any larger implementation work begins. Budget / Working Style We are an early-stage company and are looking for a practical, startup-minded developer. This is a paid contract role, but we are not looking for enterprise-agency rates. We value clear communication, efficient execution, and someone who can help us prioritize the highest-leverage backend work first. The first paid technical review may be structured as a fixed-price milestone. Continued implementation work may be hourly or milestone-based depending on fit. Long-Term Opportunity Our goal is to find someone who can become a long-term backend partner for the product, not just complete isolated tickets. For the right person, there may be an opportunity to grow into a technical lead / backend ownership role with additional upside tied to company performance. We are looking for someone who wants to help take a real product to market, but the initial engagement will be paid, scoped clearly, and focused on proving mutual fit.