LangChain Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used LangChain
Manuel Pasieka
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Daniel Schlager
Last position:
AI Automation in E-Commerce at Looops
- AI automation roadmap for a D2C/B2B e-commerce company.
- Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
- Deterministic n8n workflows with EU-hosted models.
- n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.
Marcel Steger
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Armin Fanzott
Last position:
Head of AI & Data Science at Ascent DACH
- Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
- Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
- Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
- Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
- Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
- Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
- Regular speaker at AI and data science conferences and academic institutions
Martin Haintz
Last position:
Software Development & IT-Consulting at Self-Employed
Tech stack: Flutter/Dart, Unity3D, React, NextJS, JavaScript, TypeScript, HTML, CSS, SASS, SCSS, Tailwind, Bootstrap, Ollama, llama.cpp, LangChain, MCP, RAG, n8n, Node-Red, PlatformIO, Arduino, ESP, C, C++, Python/Django, NodeJS, C#, .NET, PostgreSQL, MySQL, MS-SQL, MongoDB, AWS, Azure, GCP, GitHub Actions, GitLab CI, Azure Pipelines, Ansible, Terraform, Docker, Postman, REST, WebSocket, Figma, Penpot, Adobe Illustrator, Adobe InDesign, VS Code, Android Studio, Visual Studio, Unity3D, Jira, Confluence, Traefik, Rclone, Authentik, pfSense, Cloudflare, Proxmox, MQTT
Previous projects:
n8n automation that reads incoming emails from an Office mailbox and routes them to stakeholders
FastMCP 2 server exposing internal services via REST API to an LLM
Terraform migration of cloud infrastructure with Azure VMs, network, blob, storage and cloud-init
Azure Pipelines for automated testing, deployment, and artifact management
Terraform, Ansible, Cloudflare Tunnel integration with Docker container provisioning and backups
GitHub Actions CI/CD for Flutter app builds, testing, automated screenshots, and App Store deployment
Flutter app with SSO, local database, backend integration, BLE synchronization
GCP setup with Cloud DNS, App Engine, Cloud SQL
AWS environment with EC2, S3, Route 53, ECS
Workshops delivered on Docker, Git, Terraform, Ansible, Cloudflare, DevOps, modern software development practices
Backend development with Python Django REST Framework, PostgreSQL, MQTT
SSO identity provider with OIDC, OAuth, LDAP, Cloudflare Tunnels, Authentik
Discover over 15,000 top freelancers
Statistics of experts using LangChain
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
2 years
Positions per freelancer
17
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
25%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Austria 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 Austria 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 it does
LangChain is a framework for building applications around large language models. Companies use it to wire prompts, retrieval, tools, and memory into chat products, internal assistants, and agent flows. It is a strong fit when plain prompting is not enough.
Typical work
- Retrieval-augmented generation for document and knowledge search
- Tool use, function calling, and workflow orchestration
- Chat assistants for support, sales, and internal operations
- Data extraction and text processing pipelines
Ecosystem
LangChain works across Python and JavaScript through LangChain Python and LangChain.js. It often appears with vector stores, embedding models, document loaders, and tracing tools. Many teams also combine it with LangGraph when they need more control over agent state and branching.
When to hire
Bring in freelance specialists when a prototype needs to become reliable software. Common signs are brittle prompts, weak retrieval, unclear tool boundaries, or slow iteration between product and data teams. In Austria, remote work is common, but on-site collaboration can help when the system must fit local business processes or German-language content.
What strong specialists do
Strong professionals do more than connect ready-made blocks. They choose the right chain or agent pattern, keep prompts testable, shape retrieval quality, and add guardrails for output quality and tool safety. They also know how to measure failures and simplify the design when a full agent is not needed.
Team fit
A good LangChain specialist works well with product, backend, data, and security teams. They should ask about source systems, document quality, latency limits, and how answers will be reviewed. For Austrian companies, clear communication in English is often enough, while German knowledge helps with local content and stakeholder reviews.
Frequently asked questions
Not sure where to start with LangChain? These answers cover the essentials.
LangChain is used to build LLM-based applications that need retrieval, tools, memory, or multi-step flows. Companies bring it in for chat assistants, document search, internal knowledge systems, and task automation. It is most useful when the model must work with real data and external systems, not just generate text.
LangChain is often chosen when a team wants a broad framework for prompts, tools, and agent workflows. LlamaIndex is frequently stronger for retrieval-first systems, while a custom setup can be leaner if the use case is narrow. The right choice depends on whether the project needs flexibility, speed of delivery, or tight control.
A strong LangChain specialist usually knows prompt design, retrieval, embeddings, vector databases, and API integration. Useful extras include Python or JavaScript, testing, tracing, and basic backend design. For production work, they should also understand evaluation and failure handling.
LangChain help is valuable as soon as the project moves beyond a demo and into real users or real documents. If the team is unsure how to structure chains, route tools, or evaluate answers, outside expertise saves time. The earlier the architecture is set, the less rework follows.
Yes, most LangChain work can be done remotely because the core tasks are code, prompts, and integration decisions. On-site sessions can still help when the team needs to align on business rules, German content, or sensitive internal data. Many Austrian companies use a mix of both.
A strong LangChain freelancer explains trade-offs clearly and avoids overbuilding an agent when a simpler chain would work. They ask about data quality, evaluation, latency, and safety before writing code. Good specialists also show how they test retrieval and output quality, not just the happy path.
With LangChain, deliverables often include working prototypes, retrieval pipelines, tool integrations, prompt flows, and evaluation setups. In better engagements, you also get clear documentation and a structure the team can maintain. The output should be usable in production, not only impressive in a demo.
LangChain is the core framework name, while LangChain.js is the JavaScript version and LangGraph is a related tool for stateful agent flows. They are often used together, but they solve slightly different problems. A good specialist knows when each one fits and when neither is necessary.
The average hourly rate of freelancers in Austria who have used LangChain in their recent projects is 103 €, which corresponds to a daily rate of about 821 € based on an 8-hour working day.
Of the freelancers in Austria who have used LangChain in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Austria who have used LangChain in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Austria who have used LangChain in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Austria who have used LangChain in their recent projects are Information Technology (100%), Banking and Finance (67%), and Transportation (67%).
The most common business areas among freelancers in Austria who have used LangChain in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (83%).
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.
Countries:
Vienna Graz Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
