Senior Python AI Engineer for Swiss PropTech - RAG and LangChain

@AwaisChaudhry

MALTERS Hello Ruta Technologies, I’m Muhammad Awais, a Python engineer who builds fast, reliable systems for document-grounded Q&A. I understand Ruta Neural must answer tenant questions from PDFs with zero hallucination and say 'I don’t know' when the answer isn’t in the manual. I’ll design a clean, scalable stack using FastAPI, a retrieval approach with LangChain, and a vector store (Pinecone, Weaviate, or Supabase) that ingests PDFs, chunks them, embeds them, and returns exact source snippets. The solution will be deployable in your test environment and tuned to reproduce the Phase 2 task (Miele Washing Machine Manual, page 42) with precise, source-grounded explanations. I will deliver well-structured code, tests, and clear API endpoints so you can review and extend toward the full Ruta Neural MVP. Brief understanding and approach: I will build a modular ingestion and retrieval pipeline where PDFs are parsed into searchable chunks, embeddings are stored in a vector store, and queries are answered only from the matched sources. If nothing relevant is found, the system returns 'I don’t know'. The design emphasizes transparency, audit trails, and easy handoff for MVP handover. Which vector store do you prefer (Pinecone, Weaviate, or Supabase), which hosting environment do you want (GCP or Azure), and what are the target latency and data-source priorities for Phase 2? Best regards,

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Concierge for Residential Buildings with Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and I see you are looking for a developer to build an AI Concierge for residential buildings. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI and Python development. I will create a system that ingests technical manuals and accurately answers tenant questions while ensuring zero hallucination. ➡️ Why Me? I can easily do your project as I have 5 years of experience in Python development, specializing in FastAPI and Django. My expertise includes AI logic implementation, database management, and system deployment. I also have a strong grip on technologies like LangChain and Pinecone, ensuring a thorough approach to your project. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to our conversation! ➡️ Skills & Experience: ✅ Python (FastAPI, Django) ✅ AI Logic (LangChain, LlamaIndex) ✅ Vector Databases (Pinecone, Weaviate) ✅ OpenAI (GPT-4o, Azure OpenAI) ✅ PDF Ingestion ✅ Chatbot Development ✅ System Deployment ✅ Clean Code Practices ✅ Software Architecture ✅ Error Handling ✅ API Integration ✅ Database Management Waiting for your response! Best Regards, Zohaib

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@intelliresponse

"MALTERS", I've taken the liberty of dissecting your project description and identifying key skills that I believe make me a top candidate for this Senior Python AI Engineer role. With extensive expertise in Python, data extraction, automation, and AI solutions spanning over 13+ years, I have the critical skill set required for a task as complex as building a Technical AI Concierge system like Ruta Neural™. In terms of your tech stack, my past work with FastAPI and Django makes me comfortable with handling core Python coding requirements. Additionally, my experience working with OpenAI's GPT-4o and Azure OpenAI aligns perfectly with your AI Logic specifications. As for handling vector databases such as Pinecone, Weaviate or Supabase, I have prior experience with similar databases which will surely be an asset to the project. But skills aside, it's my thorough understanding of your project requirements and deep appreciation for clean code, architecture, and speed align perfectly with the values of Ruta Technologies. My meticulous nature not only reflects in my coding but also in how I approach every aspect of a project. Given my penchant for precise work coupled with the ability to ingrain myself in problem-solving and learning new technologies quickly while delivering results promptly make me a compelling choice for this role.

@corpmember29

Hello, Miele Operating instructions for washing machines! I HAVE WORKED ON PRODUCTION-GRADE RAG SYSTEMS AND LANGCHAIN-BASED AI SOLUTIONS AND CAN SHARE RELEVANT EXAMPLES. I clearly understand your need for a Senior Python AI Engineer to build and maintain robust RAG pipelines for complex, document-heavy domains. With 8+ years of experience in Python, AI/LLM systems, and retrieval architectures, I have designed scalable solutions using LangChain, vector databases, and modern embedding strategies for high-accuracy semantic search and question answering. >>>> Multi languages (English and Polis ) <<<< **** You may follow the project's development using the tracker. I am available for work 40 hours a week **** My experience includes document ingestion and preprocessing, chunking strategies, embedding optimization, retrievers, prompt orchestration, and evaluation loops. I focus on clean architecture, reproducibility, and explainable outputs—critical for enterprise and regulated environments. I am comfortable collaborating with cross-functional teams, writing well-documented code, and delivering production-ready systems. I am confident I can contribute immediately to building reliable, high-quality RAG solutions aligned with your long-term vision. I look forward to your response. Thanks

@devendrathakur12

MALTERS Hello, I specialize in building AI document assistants and I’ve built and customized large-scale PDF question-answering systems. The main challenge here is answering only what exists in the manual and saying “I don’t know” when it doesn’t. I’m certified in Python and AI development and I will solve this by using FastAPI, LangChain or LlamaIndex, a vector database, and GPT-4o with strict retrieval rules so hallucinations are blocked. Every answer will point back to the exact page and text. I’ve built systems where accuracy mattered more than creativity. A few questions for you. Should answers always include page numbers? Do PDFs change over time? How large are manuals on average? Do you prefer chunking by section or page? Should tenants ask follow-ups in the same chat? I’m happy to do the paid test task and deploy it clean. Best regards, Dev S.

@mubeenm5026

Having a decade of experience in the field, Web Crest has been utilizing Machine Learning (ML) and Python on numerous projects similar to your visionary "Technical AI Concierge." Our proficiency lies in designing AI-driven solutions- right from Chatbots and Virtual Assistants to deploying Scalable Architectures for efficient dataset ingestion and analysis. Moreover, our expertise extends to creating data extraction bots that can be crucial for ingesting the technical PDF manuals your system needs to revolutionize. Being well-versed with Python's popular frameworks, FastAPI and Django, we can seamlessly integrate them into your tech stack. Such an extensive knowledge base and experience will definitely empower us to accurately answer tenants' queries without any false positive or "I don't know" such as "Error F3" from your envisioned Miele Washing Machine Manual.

@tangramua

Dear ,   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, Machine Learning (ML), Google Cloud Platform, NLP, FastAPI, LangChain, Gemini, Generative Engine Optimization (GEO) 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.     

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I bring extensive experience in Python development, particularly with FastAPI and Django. My expertise in AI, especially with LangChain and NLP, aligns perfectly with the requirements of creating Ruta Neural™.

@xuezhe315

MALTERS I’m a solo backend/AI engineer specializing in RAG systems where accuracy matters more than fluency. Ruta Neural™ is exactly the type of problem I enjoy: technical documents, deterministic answers, and clean architecture. How I would approach the test task: PDF ingestion with structured chunking (page-aware) Metadata-strict embeddings (page, section, source) Vector search with hard relevance thresholds Answer generation constrained to retrieved context only Explicit “I don’t know” fallback when confidence or recall is insufficient Stack alignment: FastAPI + Python LlamaIndex or LangChain (router + citation enforcement) Pinecone or Supabase Vector OpenAI / Azure OpenAI with strict system prompts I’ve built similar systems for industrial manuals and compliance documentation where hallucinations are unacceptable. I can deploy to a test environment and document the reasoning path clearly. Happy to complete the paid task and let the code speak. Best Regards,

@usamae

I'm experienced in Python AI development and have expertise in FastAPI/Django. I have worked with LangChain and have experience with Pinecone and OpenAI technologies. I understand the importance of clean code and architecture in developing autonomous systems like Ruta Neural™. I am a solo freelancer who can deploy to test environments and communicate effectively in English. Looking forward to showcasing my coding skills in the paid test task.

@OutsourceMan

⭐⭐⭐⭐⭐ MALTERS Ruta Technologies’ mission to build Ruta Neural™ aligns perfectly with CnELIndia and Raman Ladhani’s expertise. We specialize in building AI-driven knowledge ingestion systems with zero hallucination, leveraging Python, FastAPI/Django, LangChain, LlamaIndex, and vector databases like Pinecone and Weaviate. Our approach would start with robust PDF parsing, structured embedding creation, and precise LLM prompt engineering to ensure accurate, context-aware answers. Raman Ladhani can lead LLM integration and QA pipelines, while CnELIndia handles vector DB optimization and deployment to secure test environments. Together, we can deliver a reliable AI concierge, meet the “I don’t know” constraint, and efficiently scale the MVP for your Swiss-based real estate infrastructure.

@Julian29

Hello, HAVE HANDS-ON EXPERIENCE WITH SUCH PROJECT I have 11+ years of proven experience delivering Python, AI, and NLP solutions and clearly understand your need for a senior engineer skilled in RAG, LangChain, and production-grade AI systems. The goal is to build a scalable, user-centric AI knowledge system that can accurately retrieve, reason over, and contextualize large technical documents for real-world PropTech use cases. Core capabilities -->> Python & LangChain pipelines -->> RAG with vector databases -->> Document parsing & chunking -->> LLM integration & optimization My approach focuses on clean, modular architecture, secure and efficient data pipelines, well-tested AI components, and iterative delivery aligned with business goals. I’d be happy to connect in chat, as I have a few technical and domain-specific questions to clarify before proceeding further. Thanks Julian

@JijoThomas2020

MALTERS I am a strong fit for this mvp development, I am ready for your test, please contact me so that we can jump into the test. I am an AI-driven software developer and have hands on experience in building chat apps and ocr services, so I would be happy to work on this project, and would deliver the quality work tailored to your requirements. Looking forward your message soon. Thank you, Jijo

@sekai1116

MALTERS Hello I have rich experience with Python, FastAPI, Django, LangChain, LlamaIndex and Pinecone, chroma, supabase. I have integrated many LLM models from OpenAI, Novita AI, lightning AI, Llama, Azure OpenAI. I'm ready to do the test task to work on this project. Let's discuss in detail.

@Microlent

MALTERS This problem statement is very well defined, and I like that you’re explicitly optimizing for zero hallucination rather than “smart-sounding” answers. That constraint changes how the system must be built, especially around retrieval, citation, and refusal logic. I’ve built PDF-grounded RAG systems in Python where the model is only allowed to answer from retrieved chunks and must explicitly return “I don’t know” if confidence or source coverage is missing. My usual approach is FastAPI + LangChain or LlamaIndex, strict chunking aligned to document structure, metadata with page numbers, and response validation that requires a cited source before returning an answer. If the retrieval step fails, the response is blocked. For your test task, I’d ingest the Miele manual with page-aware chunking, store embeddings in Pinecone or Supabase, and ensure the answer to “Error F3” is pulled directly from the correct section, including page reference. No generative padding, no inference beyond the text. I work solo, deploy to test environments regularly, and keep code clean and reviewable. I’m comfortable with OpenAI and Azure OpenAI setups and can move fast without cutting architectural corners. Happy to take the paid test task and let the code speak. If you’d like, open a chat and I can briefly outline how I’d enforce the zero-hallucination guarantee at runtime. Best, Jenifer

@mykhaylob4

MALTERS ✋ Hi there. I can build a precise, PDF-driven AI concierge using Python, LangChain, and vector databases to answer tenant questions accurately while avoiding hallucinations. ✔️ I have solid experience with Python (FastAPI/Django), LangChain, LlamaIndex, and vector DBs like Pinecone and Supabase, integrating LLMs for retrieval-augmented generation. In a recent project, I ingested technical PDFs, set up embeddings, and built a query system that returned exact answers only from source documents with a clear fallback for unknown queries. ✔️ For your project, I will implement ingestion of manuals into a vector DB, set up retrieval with LangChain or LlamaIndex, and connect GPT-4o via Azure/OpenAI to provide precise answers. I will ensure the system responds “I don’t know” when the answer is not in the PDF and deploy it to a test environment for evaluation. ✔️ I will maintain clean, well-documented code, optimize query performance, and deliver a system that is accurate, fast, and ready for scaling to the full MVP. Let’s chat to review the test task setup and PDF ingestion process. Best regards, Mykhaylo

@ianb65

"MALTERS". Thank you for considering my profile. I am Ian, a highly experienced and self-motivated Senior Python Developer who would be a great fit for your project to develop Ruta Neural™ system. Over my 7+ years of Full-Stack experience, my core focus has been on building high-quality, scalable applications with smooth reasoning mechanisms that aligns perfectly with the core values of clean code and architecture you hold at Ruta Technologies. In the past, I have extensively worked on NLP models like OpenAI and Azure's OpenAI which will come handy in implementing LangChain or LlamaIndex to ensure an accurate answers' generation mechanism for your Technical AI Concierge System. Additionally, my exposure to Pinecone, Weaviate, or Supabase will ensure efficient handling of the Vector DB. I am dexterous in Django and FastAPI that are essential components of your tech stack. My coding is based on excellence; I am a perfect fit for your distinctive hiring criteria to test the contributors on actual codes rather than relying solely on their CVs. I can effectively use my analytical and problem-solving skills to find precise solutions even from vast data sources like the "Miele Washing Machine Manual (PDF)" as suggested in Phase 2 of your hiring process. Hiring me guarantees hiring not just a coder but also a reliable tester and competent developer essential for a successful MVP build!

@stelianrosca618

With over a decade of experience as a web developer, I bring deep expertise and skill to your project. Having worked across various technical stacks like Python, FastAPI, and Django, I'm confident that I can effectively contribute to the development of Ruta Neural™ and execute tasks applying clean code principles. Not only can you trust me to produce high-quality work, but my communication skills are also top-notch. Fluent in English, I will be able to seamlessly collaborate with your team ensuring that we're on the same page and that your vision for the project is realized. Moreover, apart from my strong Python skills which align perfectly with your tech stack requirements, my knowledge of AWS deployment and Linux system administration would streamline the deployment process for a test environment. Ultimately, my commitment to efficient problem-solving fits the vision of your company in building the next generation of real estate infrastructure autonomously. Let's not waste time! Ready to demonstrate my abilities in the test task and join you as the best fit Senior Python AI Engineer.