AI Engineer Required for LLMs and AI Tools (12 weeks)

@rohitpatidar001

As an accomplished developer with over 9 years of experience specializing in Java and J2EE technologies, I have a proven track record of constructing and integrating complex software systems. My expertise span the gamut from microservices and RESTful APIs, to DB schema design and performance tuning, to automated testing and security validation – all crucial skills for the successful completion of your AI engineer project. In terms of AI integration, I have hands-on experience connecting REST-based LLM APIs into Java backends like Spring Boot. I understand how to leverage AI tools to improve code quality, generate unit tests, and ultimately boost developer productivity. These specializations align with your project’s focus on building with AI not just integrating APIs. My pragmatic approach to software architecture is particularly befitting for your project’s demand for clean code structure, reliability, scalability, and long-term maintainability. These are attributes that I prioritize throughout my work. I am confident that my skills will allow me to proactively contribute in brainstorming and implementing strategies that optimize code generation, test generation, context extraction, backend services generation and parallel pipeline management using AI tools end-to-end. Let me help you elevate your project to new heights!

@kamran2012

Hello, I will build your AI-assisted pipelines — code generation, test generation, and context extraction — using Python with LangChain and vector DBs like Pinecone for codebase indexing and retrieval. For large codebases, I will implement a chunked embedding strategy that preserves file-level and dependency context — so the LLM receives structured, relationship-aware context rather than flat text dumps. This dramatically improves output quality for service and test generation, and makes the feedback loop measurable through structured scoring of each iteration. Questions: 1) What is the primary codebase language the AI pipelines will target — Python, Java, or Node.js? 2) Do you have an existing vector DB or embedding setup, or will this be built fresh? Ready to start whenever you are. Kamran

@pkundu25

I am an experienced AI Developer. Your job caught my eye and looks to be quite interesting to me as I developed varieties of AI Agent and Agentic AI systems using LLMs and AI tools in recent past. I am well conversant with Generative AI and hands-on experience in building data pipelines and developing AI applications using LangChain and LLMs. I have been using Co-pilot/AI coding tools extensively and I am confident that I will be able to help you by developing AI-powered system capable of automating workflows using LLMs. Similar work done in the past: - AI Agent for Risk and Mitigation - AI Powered Copilot for Text2SQL Query - Document segmentation using Agentic AI - ChatPDF - Semantic search engine Relevant Skills: - Python - Django/Flask - Agentic AI - LangGraph/n8n - GPT4o/Gemini/Llama3.2/Mistral - LanceDB/Pinecone/ChromaDB/FAISS - AWS/Thunder Compute - GitHub Co-pilot/Claude AI - MySQL - TensorFlow - OpenCV Let's have a chat to understand the project objective and other relevant details. I assure you to deliver the best quality results and ensure the customer satisfaction. Looking forward to hearing from you soon. Thanks for the opportunity.

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@vasudharao9

Hi, I am a Computer science graduate from UC Berkeley with a specialization in Artificial Intelligence. I have more than 10 years of experience working in the AI/ML space. I can help you with this project. Message me to discuss this further. Thanks

@KarthikTechCon

Hi, I’m Karthik, an individual freelancer with 15+ years of experience in software engineering, AI/ML, backend systems, and hands-on LLM application development. I have built real-world AI solutions using LangChain, LlamaIndex, RAG pipelines, vector databases, embeddings, prompt engineering, automated test generation, and code generation workflows. My work goes beyond simple API integration—I actively use AI tools like ChatGPT, Claude, Gemini, Cursor, and GitHub Copilot daily for code generation, debugging, testing, context extraction, and workflow automation. My experience includes: * AI-assisted backend/API generation in Python and Node.js * RAG pipelines with vector DBs like Pinecone and Weaviate * Codebase indexing, embeddings, and AI-readable context creation * Automated test generation and parity validation * Feedback loops using logs, telemetry, and prompt refinement * Building production-ready AI systems, not just notebooks or POCs I can contribute immediately and work hands-on across the full 12-week engagement. Warm Regards, Karthik B

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@abdf2010

Hello. I came across your project, AI Engineer Required for LLMs and project and it aligns well with my background. I have hands-on experience with Java, Python, Linux that's directly relevant here. Feel free to reach out if you have questions.

@Srashtasoft

Hi there, I have read your project requirement. You need an AI Engineer who can build hands-on LLM-powered systems—creating pipelines for code generation, test generation, context extraction, and scalable backend services using AI tools, not just simple API integrations. We can help design and implement production-grade AI pipelines using Python (preferred) with tools like LangChain / LlamaIndex and custom architectures. Our approach focuses on building real systems—RAG pipelines, codebase indexing, embeddings, automated test generation, and feedback loops using logs/telemetry to continuously improve outputs. We actively work with tools like ChatGPT, Claude, Cursor, and Copilot for real-world coding workflows and refinement. A few questions to clarify: ===================== What is the primary use case—code generation, test automation, or full developer-assist platform? Do you already have a codebase that needs indexing/context extraction? Any preferred vector DB (Pinecone, Weaviate, or open-source like FAISS)? Do you need real-time pipelines or batch-based workflows? Best Regards, Srashtasoft Team

@Web1devloper

With over 8 years of focused experience in the realm of Data Analytics, I am well-versed with turning complex datasets into insightful solutions. My expertise stretches from profound data storytelling to predictive analytics, which has allowed me to gain proficiency in a varied set of skills that the project demands. The hands-on coding skills, particularly in Python, highlighted in the Tech Stack are a well-trodden path for me. Having collaborated with financial institutions, healthcare providers, retail businesses, and software-as-a-service (SaaS) companies, I'm adept at handling APIs and backend systems - essential ingredients for building successful AI-assisted pipelines. Additionally, my routine usage of Python in combination with JSON and data pipelines guarantees that your project will be meticulously handled and aligned seamlessly with the required tech-stack. I bring forth a comprehensive understanding of databases (SQL) along with advanced Excel skills - a unique combination that facilitates efficient handling of structured data as well as enables clean integration between diverse datasets. Partnering my matured abilities with my innate curiosity to grow intellectually, I believe I can contribute significantly to your project by developing innovative AI-readable context using the tools like LangChain / LlamaIndex / custom pipelines among others.

@Appworldz

Hi, Sahanaj here. I build AI-first dev pipelines using LangChain + vector DBs (Pinecone/Weaviate) for code/test generation, RAG, and feedback loops on real codebases. Your budget is fair; I can deliver a solid pipeline at ₹1.5L in 3–4 weeks (code gen, test gen, context indexing, APIs, validation). I actively use ChatGPT/Claude/Copilot in production workflows. You’ll get reproducible pipelines + measurable improvement loops. One question: what’s the primary codebase stack we’ll index (Python, Java, Node)?

@souvikbasu

The feedback loop requirement you mentioned — iterating on AI outputs to improve quality over time — is often the hardest part to get right, and most candidates skip over it entirely. Here's my approach to your pipeline: • Context extraction: chunk and embed your codebase with LlamaIndex, store in Pinecone/Weaviate for targeted retrieval • Code + test generation: Claude/GPT with structured prompts + retrieval to generate services that match your existing patterns • Parity validation: automated diff-based testing to verify generated code matches legacy service behaviour • Feedback loop: log generation attempts, capture failure patterns, refine prompts iteratively I work with Claude, Cursor, and LangChain daily — not as experiments, but as core parts of my workflow. I've built RAG pipelines and codebase indexing systems in production. Quick questions: Is your codebase primarily Python or mixed Java/Python? And is parity validation against an existing test suite, or are we building that from scratch? Ready to start immediately.

@himanshus642

I have already worked on this type of project and I’m ready to share real systems where I’ve used LLMs to generate code, tests, and backend workflows in production. I don’t treat AI as an add-on — I build pipelines around it. Experience: * Code + API generation using LLMs (Python/Node) * Test generation with validation loops * Context extraction from large codebases (embeddings + indexing) * RAG systems with vector DBs (Pinecone/Weaviate) Approach: AI Pipelines * LangChain / custom pipelines for structured generation * Context-aware prompts using indexed codebase * Retry + validation to ensure usable outputs Code + Tests * Generate services + auto-generate tests * Parity validation to match expected behavior * Iterative refinement using feedback Context Handling * Chunking + embeddings for large repos * Inject only relevant context → better accuracy Tools I actively use Claude, ChatGPT, Gemini, Cursor, Copilot Daily use for building, debugging, and improving outputs Feedback Loop * Log outputs + results * Improve prompts and flows over time Tech Python, APIs, JSON pipelines, vector DBs I focus on building practical AI systems that actually work in production. Happy to share real examples and walk through my approach.

@malkesh3m

⭐ Hello, I have checked your requirements for AI/ML Developer for LLM and AI tool development. We are a highly skilled data scientist, AI/ML developer with expertise in predictive modeling, statistics, and machine learning, analytics specifically within Python Our experience with AI/ML, Data Science, and Python includes proficiency in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Tableau, PowerBI We can start as soon as possible and work 20-40 hours weekly. We look forward to hearing from you soon. Thank you for your consideration.

@CyberSasu

With my wide-ranging technical skill set, highlighted by a proven aptitude for developing scalable solutions, I am confident that I would be an invaluable contributor to your AI engineer role. My experience in Mobile and Web Development, Server Administration, Embedded Systems, IoT as well as Machine Learning is highly translatable to your specific needs. In particular, I have a deep familiarity with Python - your preferred tech stack. What distinguishes me from other candidates is not just my skills but how I leverage them daily for practical use. I have a track record of building real systems, not merely notebooks. Moreover, my comprehensive understanding of structured data and API integrations will enable a smooth integration process while maximizing the value of using the LLMs and AI coding tools you've outlined. Ideas like 'RAG' , 'Codebase indexing', 'Automated test generation' aren't abstract concepts to me; I have worked hands-on with them and can drive results accordingly.

@mohammedj95

Hi There, I’ve reviewed your requirement for a Tech Lead focused on AI-driven modernization, and this aligns closely with my hands-on experience. With 12+ years in full-stack development, I’ve built and modernized production systems using microservices, APIs, and cloud infrastructure. I actively use AI tools like ChatGPT/Copilot for code generation, refactoring, debugging, and accelerating delivery. Relevant Experience: ✔ Microservices & API development (Node.js/Python) ✔ Legacy system modernization & refactoring ✔ CI/CD pipelines + AWS deployment ✔ PR-based workflows, code reviews & branching strategies ✔ AI-assisted development (code generation, testing, optimization) Approach: Extract legacy context → rebuild services with parity → validate via shadow deployment → optimize with observability & feedback loops I’m comfortable working across architecture, infra teams, and delivering production-ready systems. Quick question: What kind of legacy stack are we modernizing (monolith, stored procedures, or mixed systems)? Available to start immediately. Regards, Mohammad. J

@Visharaa2024

I understand that you are looking for an AI engineer who can go beyond simple API integration and actively build intelligent, AI-assisted development pipelines that generate code, tests, and structured workflows using LLMs. The core objective is to work hands on with large codebases, extract meaningful context, and leverage tools like LangChain or LlamaIndex to create scalable pipelines for code generation, automated test creation, and backend service development. I will design systems that integrate seamlessly with APIs and structured data while enabling continuous feedback loops to refine outputs through prompt engineering and iterative improvements using tools such as ChatGPT, Claude, and modern AI coding tools like GitHub Copilot. The implementation will focus on building robust pipelines in Python, incorporating advanced capabilities such as retrieval-augmented generation, embeddings, and vector databases like Pinecone or Weaviate for efficient context retrieval. Additionally, I will ensure strong validation through automated testing, logging, and telemetry driven feedback systems to continuously improve model outputs, delivering a practical, production ready AI development workflow that aligns with real world engineering needs.

@Ritesh11gupta

I've read through your project carefully and I'm confident I can deliver what you need for 'AI Engineer Required for LLMs and AI Tools'. I write clean, maintainable code and prioritise clear communication throughout. Happy to share relevant portfolio work. Looking forward to hearing from you!

@kshubham102

Hi, I’m an individual freelancer (not an agency) and this aligns strongly with how I already work day to day—using AI not just as an API, but as part of the engineering workflow. Relevant experience: Building Python-based LLM workflows with LangChain / custom pipelines Using Claude, ChatGPT, Cursor and Copilot daily for code generation, refinement, and debugging Experience with context extraction, structured outputs, API generation, and test automation Comfortable with RAG, embeddings, vector stores (Pinecone/Weaviate), and feedback-loop design How I’d contribute: AI-assisted pipelines for code + test generation Codebase indexing and AI-readable context creation Backend/API generation with parity validation Prompt refinement + output quality iteration Logging/telemetry for feedback loops Stack: Python first (FastAPI, data pipelines), with Node.js familiarity where needed. Timeline: Available to start immediately Rate / Budget: ₹2,500–₹5,000/hr or fixed milestones (open to discuss) I’m hands-on, individual-only as requested, and used to building real systems—not just experiments. Happy to discuss your codebase and jump into a practical test task. Shubham Sharma