Software Engineer for AI -- 3

@diektech

Hi — Elias here from Miami. I understand you're looking to enhance an AI-enabled software solution. The goal here is to create a robust system that not only functions well but also scales efficiently as user demands increase. What usually matters most here is ensuring the architecture supports future growth while maintaining performance. A common issue in systems like this is managing complex workflows and ensuring seamless integration with various APIs. The tricky part is usually balancing the need for immediate functionality with the foresight to accommodate future features. My approach would involve designing a modular architecture that emphasizes maintainability and scalability. This allows for easier updates and integration of new features down the line. I've worked on similar AI-driven platforms where I focused on stability and solid database management, which I believe would be beneficial for your project. A few questions to better understand the scope: Q1 – What specific AI functionalities are you looking to implement or improve? Q2 – Are there existing systems or APIs that this software needs to integrate with? Q3 – What are your expectations regarding user roles and permissions within the application? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@adeelpirzada

Hi, I am Adeel. I built Boostifai, an AI SaaS with a Python backend doing LLM work alongside a C# and SQL Server core, plus REST APIs tying it to the front end. That mix of backend services, database work and AI integration is exactly what you are describing. I would start by reviewing the current architecture and test coverage before touching anything, then work through the backend and API tasks in small, reviewable increments so AI integration sits on a stable base. I can commit 30 to 40 hours a week and start right away. For the first review and a short written plan of where I would start, that part is free so you can judge the fit before committing. Which part of the application is most unstable right now, the backend services or the AI integration?

@ZohaibRoy

⭐⭐⭐⭐⭐ Develop and Enhance Your AI‑Enabled Backend with Python ❇️ Hi My Friend, I hope you are doing well. I checked all of your project requirements and I can see you are looking for a Python backend engineer. You have no need to look any further as Zohaib is here to help you! My team is already doing 50+ similar projects for AI‑enabled software. I will build robust backend services, add REST API endpoints and integrate AI/LLM features, all within your budget. I will also provide full test coverage and clear documentation at no extra cost. ➡️ Why Me? I can easily do your backend work as I have 5 years of experience in Python, REST APIs, SQL, Git, Docker, Kubernetes. Not only this, I have a strong grip on cloud platforms and LLM integrations. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Python ✅ REST API ✅ SQL Databases ✅ Git/GitHub ✅ Docker ✅ Kubernetes ✅ AWS ✅ Azure ✅ AI Integration ✅ LLM APIs ✅ Unit Testing ✅ Documentation Waiting for your response! Best Regards, Zohaib

@tangramua

Hello,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, SQL, Cloud Computing, C# Programming, Software Architecture, Backend Development, RESTful API, GraphQL, Database Management, API Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@rohitpatidar001

Hi, I’m interested in supporting your ongoing AI-enabled software development project. I have 11+ years of professional software development experience, with strong expertise in backend engineering, REST APIs, SQL databases, cloud environments, Docker, testing, troubleshooting, and AI/LLM API integrations. My relevant experience includes: * Backend development with **Java/Spring Boot, Node.js/Express and Python** * REST API design, integration and troubleshooting * MySQL, PostgreSQL and MongoDB database development * AI/LLM API integration and AI-enabled application workflows * Authentication, authorization and secure API development * Docker, Git/GitHub and CI/CD * AWS/Azure-based application deployment and production support * Unit/integration testing with JUnit/Mockito and API testing * Performance troubleshooting and production debugging * Technical documentation and maintainable code structure I can work effectively with an existing application by first reviewing the architecture and current implementation, then taking ownership of defined backend/API/AI tasks through incremental milestones. I’m comfortable with an initial milestone to review the existing architecture/codebase and then proceed with clearly defined development tasks.

@Hubready

Hello!, I am a Florida-based senior software engineer and this sounds like the kind of project where details matter a lot. From your post, the real need is not just “help with AI,” but making the software more reliable, easier to extend, and stable as the AI layer grows. I can help by breaking this into practical phases: 1) review the current architecture, API flow, data models, and AI integration points 2) identify bottlenecks, bugs, and weak spots in backend, SQL, or cloud setup 3) improve the core logic, REST/GraphQL endpoints, and database handling 4) tighten deployment, logging, and performance so the system is stable in production I work hands-on with Python, SQL, cloud systems, backend engineering, and AI workflows, so I’m comfortable jumping into an existing codebase and fixing what actually blocks progress instead of just giving vague advice. A few relevant builds I’ve worked on: - a Python/AI ops dashboard for internal automation - a cloud-based SaaS backend with GraphQL and PostgreSQL - a C# service layer for a data-driven business app - an API-heavy workflow tool that connected multiple systems cleanly Quick questions: 1) Is this about improving an existing AI product, or building a new module into it? 2) What is hurting most right now: accuracy, speed, backend reliability, or data handling? 3) Do you already have the current architecture and repo ready for review? If you want someone who reads carefully and moves with a clear plan, I’d be glad to talk.

@starttechno

I’d start by mapping the existing Python backend, REST endpoint contracts, SQL schema, and the boundary between application logic and the required LLM integrations before changing production behavior. Within 5 days, I can deliver an architecture review, prioritized backend/API improvements, database integration work, an initial AI/LLM integration, and focused tests with clear progress notes. I’ll use Git with small, reviewable changes and reproduce bugs locally before addressing performance or reliability issues. I built DeskLeap, a production support platform with its own REST API, including backend workflows and database-backed application logic. My broader experience covers FastAPI/Django, PostgreSQL/MySQL, Docker, AWS/Azure, GraphQL, and Claude/ChatGPT integrations; relevant work is available through my Freelancer profile. I can commit 30 hours per week. Is the existing application and database already running in a cloud environment, or would the initial milestone include deployment setup? Muhammad Saad

@sufyanasmat38

I understand the project, and we can support the ongoing development across Python backend services, REST APIs, SQL databases, AI and LLM integrations, testing, debugging, and performance improvements. We’re comfortable taking over an existing codebase, first understanding the architecture and current issues, then delivering changes through GitHub with proper testing and documentation. We can also work with Docker and cloud environments such as AWS, Azure, or GCP where required, while keeping the backend maintainable as new AI functionality is added. 1. What Python framework and database are currently used in the application? 2. Which AI or LLM providers and integrations are already implemented, if any? 3. Will the initial work focus mainly on new backend features, or are there existing bugs and performance issues that need to be addressed first? We can share relevant Python, backend, API, database, AI, LLM, and cloud projects from our portfolio.

@mubeenm5026

As a representative for Web Crest, I am excited about the possibility of contributing to the development and improvement of your AI-enabled software application. With more than two years' experience in software engineering, I have honed my skills in backend services, API integrations, databases, and AI functionality—matching your project requirements perfectly. At Web Crest, we specialize in AI-powered solutions and have deep proficiency in Python. Additionally, our expertise extends to REST APIs, SQL databases, Git/GitHub, and web application development. We believe this comprehensive skill set and relevant experience makes us an ideal fit for the tasks you've outlined. Furthermore, we offer the added value of experience with AWS, Azure, or GCP, Docker, Kubernates which may become useful as your needs evolve. We come not only to deliver a quality product but also to provide long-term technical support that ensures your solution remains scalable and maintainable over time. Let's transform your ideas into a cutting-edge digital product that propels your business forward; get in touch- today!

@JustinJcob

I got you! I can help develop and improve your AI-enabled backend application with Python services, REST API integrations, SQL databases, testing, troubleshooting, and LLM/AI functionality. I have hands-on experience with Python backend development, API integrations, Git/GitHub, databases, Docker, and AI/LLM API workflows. I’m ready to handle your project specifics, and I’m young, a fast learner, and available 24/7. Get the demo first before you pay. My rate is $15/hr, and I’m available 40+ hours/week; I can share GitHub/portfolio examples in chat. A couple of quick questions: Which backend framework is currently used, FastAPI, Django, Flask, or custom Python? Which LLM provider or AI stack do you plan to integrate, OpenAI, Azure OpenAI, Anthropic, or another? Let’s chat and discuss the answers. Kind regards, Haroon Z

@sumitsthakur

I have over 5 years of software engineering experience specializing in Python, backend development, and AI integration. I understand you need an experienced developer to review your technical architecture, develop and improve Python backend services, build REST APIs, and implement database and AI/LLM functionality. My approach will start with reviewing your existing application requirements and technical architecture. From there, I will focus on building and integrating clean REST API endpoints, implementing database integrations, and seamlessly incorporating the required AI and LLM features. I will also write comprehensive tests, troubleshoot any performance issues, and ensure proper documentation along the way. I have strong experience working with Python, REST APIs, databases, cloud platforms like AWS, and AI systems. My hourly rate is available upon request, and I have solid weekly availability to support your ongoing milestones. Let me know when you would like to discuss the project details further.

@TeamGTW

Hi - Nikita here. I work across Python backend development, REST API integrations, SQL databases and AI-enabled applications, with a focus on building maintainable services rather than only connecting APIs together. I can step into an existing codebase, understand the current architecture, identify issues and then work incrementally through agreed milestones without disrupting the parts that are already working. For this project, I can handle Python backend services, REST API endpoints, database integrations, authentication and business logic, AI/LLM API integrations, troubleshooting, performance improvements and automated testing. I am also comfortable working with Git/GitHub and can document the changes clearly so the project remains maintainable as additional AI functionality is introduced. My approach would start with reviewing the existing requirements, repository and architecture, followed by identifying the highest-priority backend/API/AI work and agreeing on the first milestone before implementation. I can work on an ongoing basis as new requirements are introduced, with regular progress updates and clean commits for each completed area.

@flapjakc

Hi, Mateo here from Toronto, I’m a full-stack software engineer with 8+ years of experience building Python backends, REST APIs, database-driven applications and AI/LLM integrations. I can help with the existing application across backend development, API integrations, SQL/database work, AI functionality, debugging, performance and automated testing. I’m comfortable working inside an existing architecture rather than forcing unnecessary rewrites. For AI features, I can integrate LLM APIs with clear service boundaries, validation, logging and reliable error handling. I also work with Git/GitHub and cloud environments, and can provide clean documentation alongside implementation. I’m available for ongoing development and can work on milestones based on your priorities. My focus is writing maintainable production code while understanding the system end-to-end, not simply completing isolated tickets.

@longngoc2307

==== Hi - Truong here ==== "PYTHON AI BACKEND DEVELOPMENT" - you need someone who can move between backend APIs, database work, testing and AI integrations as the application evolves. I’ll work within the existing architecture rather than introducing unnecessary rewrites. For Python services, I’ll keep API and database logic separated, add tests around changed behavior, and isolate LLM integrations behind a small service layer so models/providers can be changed without affecting the rest of the application. I’ll also document meaningful changes and troubleshoot performance or integration issues as they appear. I don’t have public portfolio URLs to claim here. What is the current Python framework and database stack? Looking forward to work with you.

@kumarashish99

With over five years of experience in software engineering, I can confidently present my proficiencies in Amazon Web Services (AWS), which you've particularly mentioned in the project. My AWS certification coupled with strong skills in Python and Node.js enable me to build scalable and secure backend services efficiently on cloud platforms, ensuring excellent performance even during high-traffic intervals. I'm highly skilled in backend development with an emphasis on API integration and Database development. I have practical experience implementing REST APIs, managing SQL databases, and troubleshooting code - tasks that align closely with your project's requirements. Moreover, my familiarity with Git/GitHub gives me a comprehensive command over version control and efficient collaboration in a team environment. A big plus, I also possess prior experience integrating BIGBOSS, another LLM API into a backend application using AI/ML technologies, similar to what you require for this project. This unique skillset perfectly positions me to take on your project and deliver exceptional service. To validate this claim further, please take a glance at my proven track record on GitHub/portfolio. In conclusion, my expertise in AWS and AI/ML integration along with my adaptability to new technologies make me an ideal fit for your ongoing development needs. Looking forward to discussing the project'

@Solutionzhere

SolutionzHere can provide a Python backend engineer for ongoing AI-enabled product development. We work across REST APIs, SQL databases, service design, Docker, GitHub workflows, automated tests, debugging and LLM/API integrations, with clear documentation and regular progress updates. Our initial milestone would be a focused architecture and codebase review, followed by an agreed backlog of API, database, test and AI improvements. We build AI features with secure secret handling, spend controls, input validation and production testing. FastAPI supports dependency overrides and pytest-based API testing; OpenAI recommends storing keys in environment variables or a secret manager, never in code. Rate: $38–$45/hour. Availability: 20–30 hours/week, starting this week. Which framework, database and cloud environment does the existing application use?

@mayr81

I can help develop and improve your AI-enabled application across the full backend workflow: Python services, REST API integrations, SQL database functionality, testing, troubleshooting, and AI/LLM features. My approach would begin with reviewing the existing requirements and architecture, identifying technical risks, and establishing clear milestones. I can then implement maintainable backend components, connect and validate external APIs, improve database interactions, add automated tests, and document key decisions. I’m also comfortable working with Git/GitHub and can support cloud, Docker, and scalable deployment requirements as the project evolves. For an ongoing engagement, I provide structured progress updates, practical technical documentation, and careful debugging focused on reliability and performance. I’m available to begin with an architecture/code review and proceed into prioritized development milestones. Relevant examples and availability can be shared through my portfolio or GitHub upon request. Best regards

@naminghn

Hi there, I see you need support in enhancing your AI-enabled software application, focusing on Python-based backend components and API integrations. I have solid experience in developing REST APIs and working with SQL databases, along with proficient troubleshooting skills that will ensure any existing code issues are resolved efficiently. Implementing AI functionality seamlessly into these components is something I'm well-prepared to tackle. I'd be happy to review your application's existing requirements and architecture, ensuring that the backend services are robust and effectively integrated. I'm ready to start immediately, and I can provide updates on progress regularly. Regards, Ali

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi Client, thank you for sharing the detailed project brief. I can build your AI-enabled software application using Python, REST APIs, and SQL with a scalable and performance-optimized design. I will deliver: • Comprehensive review of existing application requirements and architecture • Development and enhancement of backend services • Integration of robust REST API endpoints • Seamless database integrations • Implementation of AI/LLM functionality as required • Thorough testing and debugging to ensure performance • Detailed technical documentation and regular progress updates You will also receive: • Ongoing support and maintenance for future enhancements I am confident I can execute your vision professionally and efficiently. Looking forward to discussing the timeline and next steps. Best regards, Chirag Pipal.