Find top freelance Langchain developers quickly and easily on Codementor. Work with our vetted developers who have the proven skills and experience to get the job done. Get help with projects by-the-hour or long-term. Hire a trusted Langchain freelancer on Codementor today.
Hire In No TimeVerified Talent
Top freelance Langchain developers available to hire
Is your AI-powered MVP built on a fragile 'vibe-coded' foundation? Are you struggling to scale a prototype that was built with lightning speed but is now plagued by bugs, security holes, and technical debt?
I transform brittle AI prototypes into robust, **production-ready applications**. As a senior AI engineer specializing in the **Node.js** and **React** ecosystem, I bridge the gap between rapid, AI-assisted development and the disciplined engineering required for scalable, secure software.
But robust software is only half the battle. The other half is making it *work for your business*. I design and implement **intelligent automation workflows** that connect your apps, eliminate manual tasks, and free up your team to focus on high-impact work.
Whether you need to rescue a failing project, automate a core business process, or build a scalable MVP from the ground up, I provide the expert oversight to ensure your AI initiatives deliver real, measurable value.
**My Core Services:**
* **🤖 AI Code Rescue & Remediation:** I conduct deep **AI code audits** to debug, refactor, and secure fragile codebases (especially those built with LangChain.js). I turn unmaintainable prototypes into stable, scalable assets ready for real users.
* **⚙️ Intelligent Workflow Automation & Integration:** I design and build digital assembly lines for your business. I offer a full spectrum of automation solutions:
* **Rapid Integration:** Using **Zapier, Make.com & n8n** to connect your existing tools and solve immediate process bottlenecks.
* **Custom API Development:** Building custom **Node.js** APIs and webhooks to connect proprietary systems or handle complex logic that no-code tools can't.
* **AI-Powered Decisions:** Infusing your workflows with intelligence using the **OpenAI API** to triage support tickets, qualify sales leads, or generate content automatically.
* **🚀 Custom AI Solution Development:** I architect and build bespoke AI solutions from scratch, from **Custom GPTs** and intelligent **AI Agents** to complex RAG (Retrieval-Augmented Generation) pipelines that leverage your private data.
* **👨🏫 AI Engineer & Career Mentorship:** I provide 1-on-1 coaching to help developers navigate the AI landscape, master tools like LangChain.js, and build a successful career in AI engineering and automation.
**My Tech Stack:**
* **Languages:** Node.js, TypeScript, JavaScript
* **Frameworks:** React, Next.js, Express.js, NestJS
* **AI / LLM:** LangChain.js, OpenAI API, LlamaIndex, Vector Databases (Pinecone, Qdrant)
* **Automation Platforms:** Zapier, Make.com, n8n
Ready to move past the prototype phase and build a real business? **Send me a message with your project details or book a session to get started.**
---
### Service Packages
* **Package 1: AI Code Audit & Production-Ready Roadmap**
* **Description:** Have an AI-generated MVP that feels unstable? I'll perform a comprehensive review of your codebase. You'll receive a detailed report identifying security vulnerabilities, performance bottlenecks, and a concrete, actionable roadmap to make your application **production-ready**. This is the perfect first step to de-risk your project.
* **Package 2: Intelligent Automation Workflow**
* **Description:** Let's put a core business process on autopilot. We'll map out a high-impact workflow and I'll build a robust automation to solve it. Ideal for **automating lead qualification**, **triaging customer support tickets**, or **streamlining content pipelines** using the best tool for the job—Zapier, Make, or custom Node.js scripts.
* **Package 3: Scalable AI MVP Development**
* **Description:** Need to build an MVP the *right* way? I'll architect and develop a **scalable MVP** from day one, using professional, spec-driven development practices. We'll build a strong foundation with clean, documented code and a modern stack (Node.js, React) to avoid the technical debt that plagues "vibe-coded" projects.
As a seasoned Software Architect and Technical Lead, I guide teams to deliver cutting-edge AI and cloud solutions. With 14+ years in software development, I specialize in designing scalable .NET/Angular applications and integrating advanced AI tools (LLMs, LangChain, etc.) into real-world products. I led a recent project that reduced cloud infrastructure costs by 35% while launching new AI-driven features. I’m passionate about mentoring others in AI-powered developer workflows, GitHub Copilot strategies, and cloud-native architecture design.
I'm Damilola Ogunmoye, a tech enthusiast, passionate result-driven solution provider, and the Co-founder and CTO at a Technology company that focuses on developing products and digital solutions; to empower forward-thinking businesses. I have a Bsc. in Computer Science with Economics and graduated with honors.
I have over ten years of experience building digital products in different industries using various tools and technologies. My focus is on leading a team that delivers clean, maintainable, scalable, secured, and robust products with great architecture.
I've worked with Javascript frameworks/libraries like React, Vue, ReactNative, Svelte, etc. CSS frameworks and libraries such as TailwindCSS, SASS, LESS, etc., Programming languages such as PHP, Go, Python, Javascript, etc., as well as relational and No SQL databases not limited to MySQL, MSSQL, MongoDB, Redis, PostgresSQL.
I've helped build APIs for products and love building out tools for fun.
I believe in continuing to innovate. One must always strive to improve by learning every day.
I am currently enjoying working with Laravel, Tailwind, VueJS, and InertiaJS at the moment. Diving deep into Coding Smart Contracts in Solidity and Building Machine Learning Algorithms for Fun.
Feel free to chat with me about any issues you might encounter in subjects not limited to Product Design and Architecture, Deployment (CI/CD), Detailing Technical Specifications, etc. I'll be more than willing to help.
I'm Shweta, the C# corner MVP, a speaker and a girl behind YouTube channel https://www.youtube.com/@shweta-lodha. You will find that I'm incredibly passionate about helping people solving their technical problems related to Microsoft Technologies and LLM. I won several recognition from very popular forums like MSDN, Microsoft Technet, C# Corner, CodeProject for my community contributions.
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS.
I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript.
I have developed chatbots using **LLM and retrieval augmented generations.**
I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
I help businesses and developers leverage the power of Generative AI, RAG (Retrieval-Augmented Generation), and Agentic workflow to build cutting-edge AI applications. With hands-on experience across Azure AI, OpenAI, AWS Bedrock, SageMaker, and Databricks, I specialize in designing and optimizing AI/ML solutions tailored to real-world challenges.
What I Bring to the Table
✅ RAG & Multimodal RAG – Designing intelligent retrieval-based AI systems, optimizing embeddings, and leveraging vector databases.
✅ LLM Integration & Fine-Tuning – Experience with OpenAI, Claude, Mistral, and other open-source & proprietary models.
✅ Guardrails & AI Safety – Implementing security layers, prompt filtering, and bias mitigation in GenAI applications.
✅ Agentic Workflows – Building multi-agent AI architectures for automation, knowledge retrieval, and decision-making.
✅ Enterprise AI Deployment – Expertise in cloud-native AI deployments using Azure, AWS, and Databricks.
✅ AI Evaluation & Optimization – Fine-tuning RAG pipelines for better accuracy, latency, and cost-efficiency.
Industries & Use Cases
📌 Conversational AI & Chatbots
📌 Knowledge Management Systems
📌 AI-Powered Search & Document Intelligence
📌 AI for Finance, Healthcare, Manufacturing, and Automation
🚀 Whether you're looking to optimize an existing AI pipeline or build an AI-powered product from scratch, I can help you navigate the complexities of Generative AI and LLM-based systems.
Let’s build something intelligent together! 💡
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions.
I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning.
In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics.
**What you can expect from me as a mentor:**
* Clear, structured lessons—customized to your pace and background
* Real-world coding practices from enterprise-grade projects
* In-depth AI/ML concepts explained from scratch
* Doubt-clearing sessions before every new topic
* Practical examples connecting theory to implementation
If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
I have a strong background in machine learning, deep learning, and AI, with hands-on experience using transformers and LangChain to build intelligent systems. My work spans across computer vision, NLP, and AI-powered automation, including projects in document processing, instance segmentation, and chatbot development. I’ve also explored applications in real estate analytics, network intrusion detection, and RF energy harvesting optimization.
My goal is to become a Blockchain AI Engineer, focusing on backend blockchain development with Golang and integrating LLM-based AI applications into real-world systems. I’m passionate about building scalable AI-driven products, mastering transformers, and competing in ML/AI challenges to push my skills further.
I’m an **AI engineer and cloud architect** with 14+ years of experience building and scaling real-world software systems. I help startups and product teams turn **LLM ideas into production-ready AI applications**, combining **LangChain/LangGraph**, **Java**, **Python**, **TypeScript**, and cloud-native architecture to deliver reliable, scalable results—not just demos.
I specialize in **developing end-to-end AI systems**, including LLM-powered APIs, RAG pipelines, backend services, and event-driven microservices. With extensive hands-on experience in **Docker, Kubernetes, Azure, CI/CD**, and **Kafka**, I design AI platforms that are secure, observable, cost-efficient, and built to scale from the outset.
Currently working at **Microsoft**, I bring enterprise-grade engineering discipline to fast-moving startup environments. I work comfortably in small, distributed teams, communicate clearly with technical and non-technical stakeholders, and focus on shipping AI features that directly impact users and business outcomes.
### About Me
I am an experienced **AI and Computer Vision Specialist** with a **Master’s degree in Computer Vision** and a recipient of the **Google Inside Look 2019 Award**. My expertise lies in developing advanced solutions in **Deep Learning, Machine Learning**, and **Image Processing**, with a strong focus on building and optimizing AI-driven systems.
I have successfully built AI teams using **Gemini**, **Groq**, and **Phidata**, enabling multi-agent collaboration for tasks such as **data collection, processing, and analysis**. Additionally, I specialize in **Face Recognition**, **Object Detection**, and **Video Analysis**, leveraging technologies like **TensorFlow**, **Keras**, and **OpenCV** to deliver impactful solutions.
### Key Achievements
* Optimized an object detection pipeline for a startup, reducing processing time by 40%.
* Built and deployed end-to-end ML models for image classification in production environments.
* Guided junior developers in designing and training custom CNNs, improving team performance.
### Mentorship Philosophy
I excel at breaking down complex AI concepts into digestible steps, empowering both beginners and experienced developers. Whether you're starting your journey in AI or looking to fine-tune and scale your solutions, I’m here to guide you with practical, hands-on advice.
* **GitHub**: [github.com/ahmetozlu](https://github.com/ahmetozlu)
* **Papers**: [Facial Expression Recognition](https://ieeexplore.ieee.org/document/8404767/) | [Automatic Age Estimation](https://ieeexplore.ieee.org/document/8404549/)
How to hire a freelance Langchain developer on Codementor
STEP 1
Post a Langchain request
We'll share your request with freelancers with relevant Langchain skills and expertise.
STEP 2
Review & chat with Langchain freelancers
Use our messaging feature to instantly chat with freelance Langchain developers around the world.
STEP 3
Hire the best Langchain freelancer
Choose the best freelance Langchain developer that meets your needs.
Frequently asked questions
How long do Langchain projects normally take?
The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance Langchain project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance Langchain request on Codementor, check out our article.
How much does it cost to hire a freelance Langchain developer?
We don’t charge anything when you post a freelance hiring request for Langchain developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.
What makes Codementor Langchain developers different?
We do a comprehensive technical and communications screen of all Langchain developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing Langchain developers’ user satisfaction rates.
What happens if I’m not happy with the freelancer’s work?
As a platform, we strive to ensure you’re always happy with your Langchain project’s results. If you’re unsatisfied with the results, you can choose to get a refund for the project. Additionally, you can contact our support team should you need any further assistance with your project.
For more answers to frequently asked questions, see here.