LangChain Experts in Nuremberg
in minutes from vetted, available specialists with the power of AI.Hire experts who build LLM workflows with LangChain, LangGraph, retrieval pipelines, agent logic, and model integrations. FRATCH matches you fast and precisely with vetted, available freelancers who can join remote or on-site work in Nuremberg.
Meet FRATCH Experts in Nuremberg, who have recently used LangChain
David Onaiyekan
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Ralph Navasardyan
Last position:
AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH
- Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
- Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
- Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Uddipan Basu Bir
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Ashmi Jha
Last position:
Software Developer at Myrix Labs
- Engineered high-performance APIs with FastAPI + MongoDB, integrating live weather data (NOAA, NWS).
- Developed an AI chatbot with OpenAI APIs — context-aware by location, profession & interests.
- Created admin dashboard APIs for real-time monitoring and zero-downtime configuration.
- Integrated Stripe Embedded Payments with secure transactions & subscription management via webhooks.
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Kashyap Khunt
Last position:
Master’s Thesis - Synthetic Data Generation for Quality Inspection at Schaeffler Technologies AG
- Developed a synthetic data generation framework using 3D simulation (NVIDIA Omniverse) and Generative AI (Stable Diffusion) to model and augment industrial surface defects.
- Trained and evaluated Computer Vision models (YOLO, DETR), achieving 94% detection accuracy on real-world samples and demonstrating successful simulation-to-reality transfer.
- Applied domain adaptation to improve simulation-to-reality transfer, enabling scalable Industrial AI for automated quality inspection and reducing manufacturing downtime.
Discover over 15,000 top freelancers
Statistics of experts using LangChain
Aggregated from the professional profiles of matched freelancers.
Experience
8 years (Germany: 13 years)
Position duration
1.4 years (Germany: 1.7 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Research and Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
100% (Germany: 77%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Hindi
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Nuremberg using LangChain
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What LangChain does
LangChain is a framework for building applications around large language models. Teams use it to connect prompts, tools, retrieval systems, and external APIs into one flow. It fits chat features, search assistants, document automation, and agent-based workflows.
Common delivery work
- Design prompt chains and tool calling flows
- Build retrieval-augmented generation for company content
- Connect vector stores, databases, and APIs
- Add memory, routing, and guardrails for agents
- Test, monitor, and refine production LLM behavior
Ecosystem and tools
Strong professionals know the LangChain ecosystem, including LangGraph for stateful agent flows and LangSmith for tracing and evaluation. They also work with OpenAI, Anthropic, Hugging Face, vector databases, and Python or TypeScript codebases. Good results depend on solid integration, not just prompt writing.
When companies bring in help
Companies usually look for freelance expertise when an internal team needs to move from demos to working systems. That often happens with knowledge assistants, support automation, internal search, or workflow tools that must handle messy documents and changing business rules. In Nuremberg, this is often useful for industrial, logistics, and enterprise teams that need reliable language features without building a full specialist team.
What strong specialists deliver
Strong LangChain specialists think about data flow, latency, failure handling, and evaluation from the start. They write clear chains, keep prompts maintainable, and choose the right pattern for retrieval or agent work. They also know when a simple pipeline is better than a complex agent setup.
Working model
For many projects, remote work is enough because the core tasks are code, data, and review. On-site sessions in Nuremberg can help when teams need alignment on business language, internal documents, or approval flows. The best experts communicate clearly with product, data, and security stakeholders.
Frequently asked questions
What clients ask us most about LangChain — answered in short.
LangChain is used to build applications that combine large language models with tools, retrieval, and external data. Companies use it for chat assistants, document Q&A, internal search, workflow automation, and agent flows that need to call APIs or read company knowledge.
LangChain adds structure around prompts, retrieval, tools, and state, while direct LLM calls stay simpler and more manual. It helps when a project needs reusable components, tracing, or multi-step flows. For very small tasks, plain model calls can still be the better choice.
A strong LangChain specialist usually knows Python or TypeScript, prompt design, retrieval pipelines, vector stores, API integration, and evaluation. Familiarity with LangGraph, LangSmith, and common model providers is a plus. Security, testing, and clear logging matter too.
A project needs an experienced LangChain expert when the first prototype works but the system still needs stability, traceability, and better answers. That is common with internal assistants, support tools, and document-heavy workflows. The more business-critical the use case, the more valuable a specialist becomes.
Yes, LangChain work is often well suited to remote delivery because the main outputs are code, prompts, test cases, and integration work. On-site time can still help when teams need to review internal documents, define domain language, or align on access rules. Many projects use a mixed setup.
Look for clear system design, not just polished demos. A good LangChain freelancer explains why they chose a chain, retrieval setup, or agent pattern, and shows how they test outputs, handle failures, and measure quality. Ask for examples of production work, not only notebooks.
No, LangChain also has strong support in TypeScript, which matters for web and product teams. Python is still common for data-heavy work and backend services, but the right choice depends on your stack. A good specialist can work within either environment.
Ask how the freelancer handles data sources, access control, evaluation, and fallback behavior. If your team is in Nuremberg, also ask whether they can collaborate remotely with local stakeholders or join on-site sessions when needed. That helps you find a fit for both the technology and the working setup.
The average hourly rate of freelancers in Nuremberg, Germany who have used LangChain in their recent projects is 41 €, which corresponds to a daily rate of about 330 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used LangChain in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used LangChain in their recent projects have 8 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Nuremberg, Germany who have used LangChain in their recent projects are German (100%), English (100%), and Hindi (25%).
The most common industries among freelancers in Nuremberg, Germany who have used LangChain in their recent projects are Information Technology (88%), Manufacturing (63%), and Automotive (38%).
The most common business areas among freelancers in Nuremberg, Germany who have used LangChain in their recent projects are Information Technology (88%), Product Development (88%), and Research and Development (88%).
Main locations of FRATCH Experts, who have recently used LangChain
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
