Develop Backend for AI web application (MVP) based on parallel.ai
I am looking for an experienced Backend developer to create the core of an innovative AI SaaS platform that specializes in intelligent data processing and enrichment. The key features of the project are:
- deep integration with the functionality of the platform parallel.ai (for executing complex AI pipelines and automating analytical processes;
- working with data in tabular format (Smart Sheets);
Main modules for implementation:
Hydration (Data Enrichment): This is the central functionality of the system. It is necessary to implement the logic for automatic collection and filling of missing information using AI agents via the parallel.ai API. The system must manage parallel requests, process large data arrays in real-time, and ensure stability of connection to the AI infrastructure.
Validation: Creation of an intelligent module for checking and cleaning incoming data. The system must automatically detect errors, duplicates, and format inconsistencies before the data enters the enrichment process.
Lookalike (Finding Similar Objects): Development of an algorithm that finds similar companies or projects in the global database based on existing records and AI analysis. The module should use vector comparisons or scoring logic through integration with parallel.ai.
Tech. stack: Python (FastAPI/Django) or Node.js. DB: PostgreSQL, Redis (for queues). API: Deep integration with REST API (specifically parallel.ai).
Challenges and expectations:
- Integration with parallel.ai: building architecture for effective management of request queues considering limits and speed of AI models.
- Data transformation: fast processing of large tables and converting arrays of unstructured information into clearly structured reports.
- High performance: applying asynchronous programming to create a reliable and scalable AI service infrastructure.
Already available (and will be provided to the executor): clickable UI (made in Axure), detailed specification (with all blocks, forms, and logic of Frontend operation), video overview (screen recording) of the main functionality.
In your responses, please indicate your experience in similar projects and approximate cost (from - to, and what it depends on). Template responses will be considered as spam and will be automatically rejected.
Applications 7
-
Hello. I have reviewed the project description and materials — the task is clear from both a technical and product perspective. I have practical experience in developing backend for AI-oriented SaaS solutions with asynchronous data processing, integrations with external AI / LLM APIs, rate limit control, queues, and fault tolerance.
I have worked with data enrichment and validation systems, where key aspects include parallel queries, stability of AI pipelines, and real-time processing of large tabular arrays. I have a good understanding of the architecture of hydration modules, validation logic, and lookalike search based on AI scoring or vector comparisons. I have implemented backend in Python (FastAPI), PostgreSQL, and Redis with clear load control and scaling.
I see the integration with parallel.ai as a separate service layer with queue management, retry logic, backoff mechanisms, and execution monitoring. I am ready to quickly engage in the project, work with the provided specifications, UI, and video overview, and bring the MVP to a stable working state.
I am ready to discuss the architecture, propose optimizations, and start working after agreeing on the details.
-
1182 8 1 Hello, Igor
I will develop a scalable system in Rust to meet the requirements of speed and parallelism. I can respond with the price in private, of course, if you write.
-
128 Hello!
I am interested in your project - I have relevant experience and am ready to take on the task. I work quickly, responsibly, and with attention to detail.
🔹 A little about me: I have over 3 years of experience in development.
I have experience in .NET Core, C#, ASP.NET MVC, Web API, JavaScript/CSS/HTML, React.js, Next.js, MS SQL, Git.
🔹 I am ready: to start immediately, agree on the deadline and budget, make adjustments if needed.
-
858 2 0 Good day, 15 years in development, recently actively worked with artificial intelligence and machine learning, would gladly take on your project.
-
1048 7 1 Hello!
I have significant experience in backend development for AI platforms. I recently completed a project where I integrated machine learning algorithms for processing large volumes of data using FastAPI and PostgreSQL, which greatly improved performance.
I will create the backend for your AI SaaS platform, focusing on deep integration with parallel.ai, stable management of request queues, and fast data processing. I will use FastAPI for asynchronous request handling and Redis for queue management, which will achieve high performance for the messenger.
I am ready to discuss the details and your needs, including the cost, which will vary depending on the scope of functionality. I look forward to your response!
-
1671 11 0 Hello, I am a Golang developer with experience in developing high-load applications. This includes experience in developing a commercial product that processed large data through the ChatGPT API (automatic mapping of product categories). I will develop a reliable and maintainable service. Additionally, I have 8 years of experience as a business analyst/architect, so I quickly solve problems by finding solutions for complex tasks. The rate is $30 per hour. I cannot currently estimate the cost and timeline for the entire project; this requires a Discovery phase that will take about 16 hours. As a result, we will obtain a detailed architecture and an estimate for each feature.
-
5235 29 1 1 I will create a backend core for your AI SaaS: a stable architecture for Smart Sheets, queue/limit management for parallel AI, pipeline state control, reproducible results with logging and retries.
Approach/Stack
Python + FastAPI (or Django if needed), PostgreSQL, Redis (queues), async I/O, integration layer for parallel AI (rate-limit, retry/backoff, idempotency), OpenAPI/Swagger, Docker environment.
Scope of Work
Domain architecture: projects/tables/rows/jobs/statuses, action auditing.
Hydration: batches, parallel requests, limit control, retries, progress/metrics.
… Validation: rules/schemas, deduplication, normalization, error reporting.
Lookalike: scoring/vector search (if needed pgvector/separate service), API for searching and ranking.
Admin/service endpoints, access tokens, roles, logging, tracing, test cases.
Questions
1. What authentication is needed: email+password, SSO, or only workspace/token?
2. Smart Sheets: custom table model or integration with Airtable/Google Sheets?
3. Progress in front: webhooks/streaming or is polling API sufficient?
Result
Ready backend MVP: API, queues, database, integration with parallel AI, OpenAPI documentation, launch and deployment instructions.
Cost: 320,000–520,000 UAH or 900–2,200 UAH/hour.
-
172 1 1 I am ready to complete this project as I have extensive experience in application development.
-
276 2 2 Hello!
I sell licenses for my software.
I work in two areas: AI, cybersecurity.
I have experience with C/C++, Python, Assembly, Js.
Main advantages: Responsibility, punctuality.
-
178 Hello! I specialize in developing high-load Backend systems in Python (FastAPI). I have real experience working with Big Data: I successfully implemented parsing and structuring of tables with over 40,000 rows and a large number of columns.
Architecture and Docker: My project CargoBot is fully containerized (Docker Compose), which ensures stable operation and easy scaling.
Working with APIs: I understand the logic of building queues (Redis) for managing limits of Parallel.ai and processing parallel requests (asynchronous programming).
Data Processing: I have skills in reverse engineering and validation of complex data, which is critical for the Hydration and Lookalike modules.
All details, technical stack, and successful cases are in my profile. I am ready to study the specification in Axure and start working.
-
868 14 0 I am a backend developer with over 7 years of experience. For the last few years, I have been working specifically with AI SaaS products, where the key tasks include data enrichment, validation, working with large tables, and integration with external AI services via API. I have participated in the development of systems for automatic enrichment of companies and leads, duplicate detection, building lookalike models based on AI analysis and vector similarity.
-
374 Ready to participate in the implementation of the backend in Python. I propose the following stack: Django/DRF/PostgreSQL/Celery/Redis + REST API. Over 10 years of experience working on backend development projects. I hope my experience and qualifications will be useful in your project.
-
410 7 1 1 Hello,
Thank you for the detailed description, I would be happy to help with the implementation of the project. I am a Software Development Engineer with over 7 years of experience in creating various websites, SaaS solutions, complex web platforms, and MVPs for startups. In my portfolio, I have highlighted some of the projects I have developed.
My stack includes the following technologies and their frameworks: PHP (Yii2, Laravel, Symfony), HTML5, CSS3, JS (Vue.js, React.js), MySQL, PostgreSQL.
-
95799 1272 1 10 Hello. I have been working with Node.js for over 8 years. I am ready for collaboration.
-
1212 7 0 Hello.
I have reviewed the platform description, and the task seems completely realistic, but with a non-trivial architectural component — this is what intrigued me.
I specialize in backend architecture and integration of complex external APIs (AI / data pipelines / asynchronous queues). In similar projects, I consider the key to success not so much the AI challenges themselves, but the orchestration of tasks, stability, limit control, and processing large arrays of tabular data.
How I see the implementation of key modules
Hydration (Data Enrichment)
It makes sense to build the central module through queues and workers (Redis), with batch processing of table rows and managing the parallelism of calls with parallel.ai.
… Mandatory components: rate limiting, retries with backoff, idempotency of tasks, and preserving provenance (which agent/pipeline filled the field).
Validation
A separate pipeline for enrichment: structural rules, deduplication (exact + fuzzy), normalization of formats, and quality scoring. This significantly reduces cost and noise at the AI-hydration stage.
Lookalike
Finding similar objects is possible through scoring or vector comparisons (embeddings) — depending on where the database is stored (internal or via parallel.ai). The optimal approach is staged: fast-filter → AI-rerank.
Technical Stack
I work with both Python (FastAPI) and Node.js (NestJS/Fastify).
For this project, I see an asynchronous architecture with PostgreSQL (main data) + Redis (queues, throttling, task states) as optimal.
Experience
I have experience in:
building backend cores for SaaS products
working with large tabular data
integrating AI APIs with limits and parallel requests
designing queues, workers, and fault-tolerant processing
Cost and Format
The estimate depends on:
the volume of v1 (number of columns, types of hydration, validation rules)
expected processing speed of tables
depth of the lookalike module
Approximately: from $8500 to $12000 for the MVP core, with phased implementation and scalability options.
The selling price is approximately $12,000 - $25,000
I am ready to evaluate in more detail after reviewing the specifications and UI.
I would be happy to discuss the architecture, constraints, and the first stage of implementation.
Best regards,
Ruslan
-
15075 32 0 1 Good day!
My name is Valentin, and I represent Arctic Web Agency. We are a team of experienced web developers who specialize in creating modern and effective web solutions for businesses. I can provide examples of our similar work in personal messages. We are ready to take your project to work!
Sincerely,
Arctic Web Team
Freelancehunt
-
2046 16 0 Hello. I offer development on nodejs nestjs. I work with large volumes of data. Optimization is key. Feel free to contact me.
Current freelance projects in the category Python
Automatic video posting on social media according to a scheduleTechnical Assignment (TA) Automatic video publication on social media according to a scheduleProject Description A script/bot (Python preferred, or any other solution of your choice — the main thing is stability and ease of maintenance) is needed, which automatically publishes… Python, Bot Development ∙ 5 hours 21 minutes back ∙ 34 proposals |
Bot for receiving/searching applications
28 USD
In short: Create a bot where users can create and find profiles, the bot should have referral links, etc. Everything is detailed below. Client-side bot: Before the /start button, text in the center of the chat: What can this bot do? Welcome to Sugar Secret Agency! -Premium… Python, Bot Development ∙ 7 hours 24 minutes back ∙ 40 proposals |
We are looking for a developer to create a trading bot/chatbot.We are looking for a developer to create a trading bot / chat bot. An IT specialist is needed who can develop a bot for market analysis 24/7 and send trading signals for gold, indices, Bitcoin, and Forex pairs. The main requirement is that the specialist must understand… Python, Bot Development ∙ 1 day 2 hours back ∙ 35 proposals |
Approximately 5 microservices on FastAPI + edits and refactoring
350 USD
There is a project consisting of approximately ~11 microservices on FastAPI with integrations, which is more than half ready. The task is to complete the remaining ~5 microservices (more specifically - subscription/billing and integration with Revenuecat, abuse protection for… Python, Web Programming ∙ 1 day 7 hours back ∙ 40 proposals |
Power BI
16 USD
The dashboard runs on a Google server, we need to transfer all logic + code Required skills: deployment of ETL processes on a Linux server + working with BigQuery and Postgre There is working code that runs on Google, where the database itself is, we need to transfer it to… Python, Databases & SQL ∙ 2 days 13 hours back ∙ 15 proposals |