LangChain Experts in Austria
in minutes from over 15,000 CVs with the power of AI.Hire experts who construct advanced retrieval-augmented generation pipelines, integrate cognitive agents into your business systems, and connect LLMs with private databases, matched precisely with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used LangChain
Manuel P.
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 S.
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 S.
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 G.
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 F.
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 H.
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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
LangChain experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (67%)
- Transportation (67%)
- Manufacturing (67%)
- Education (50%)
- Healthcare (50%)
- Media and Entertainment (50%)
- Professional Services (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Orchestrating Large Language Models
LangChain is an open-source framework designed to simplify the creation of applications using large language models. It provides a standard interface for chains, multiple integrations with other tools, and end-to-end chains for common applications. Austrian enterprises utilize it to build intelligent software that understands context.
The Ecosystem and Tooling Landscape
Working with this technology requires familiarity with several core components and adjacent libraries.
- LangChain Expression Language (LCEL) for declarative chain composition
- LangGraph for building stateful, multi-actor applications
- LangSmith for debugging, testing, and monitoring LLM applications
- Vector databases like Qdrant, Pinecone, or Milvus
- Integration modules for OpenAI, Anthropic, and open-source models
Typical Use Cases and Architectures
Local companies across Austria leverage these frameworks to modernize their operations. Experts implement several patterns to turn raw models into valuable business tools:
- Building retrieval-augmented generation systems for internal knowledge bases
- Creating autonomous agents that interact with APIs and databases
- Developing structured data extraction pipelines from unstructured PDFs
- Implementing customer service chatbots with conversational memory
When to Bring in External Expertise
Organizations transition from basic API prototyping to production when they realize the complexity of context management and output parsing. Specialist support is critical when:
- Basic prompts fail to deliver consistent structured JSON output
- LLM latency and API costs need optimization through semantic caching
- Complex agent workflows require state management and human-in-the-loop validation
- Your local team in Vienna or Linz needs rapid onboarding on LLM patterns
Essential Skills of Top Specialists
High-caliber specialists possess a deep understanding of prompt engineering and software architecture. They do not just write chains; they secure them against prompt injection and design robust fallback strategies when LLMs fail. They excel in Python or TypeScript, understanding asynchronous programming and streaming responses.
Austrian Market Integration and Delivery
Successful projects in Austria often require on-site alignment for security-sensitive data processing, combined with remote execution. Professionals working with local enterprises ensure compliance with strict data privacy guidelines while integrating with existing on-premise infrastructure. Fluent English is standard, and German language skills are frequently preferred for local system integrations.
Frequently asked questions
Not sure where to start with LangChain? These answers cover the essentials.
Companies use LangChain to connect large language models to their private data sources and external APIs. This enables the creation of context-aware applications like smart search engines, automated customer support agents, and automated document analysis tools.
While direct API calls work for simple prompts, LangChain provides a structured framework for managing state, memory, and complex multi-step chains. It abstracts model providers, allowing you to swap LLMs easily without rewriting your entire application logic.
While LangChain is a general-purpose framework designed for building agentic workflows and complex chains, LlamaIndex specializes heavily in data ingestion and indexing. Specialists often combine both tools to build high-performance search systems.
A proficient LangChain specialist must be highly skilled in Python or TypeScript, along with vector databases like Pinecone or Weaviate. They should also understand embedding models, API development with FastAPI, and cloud deployment pipelines.
Look for a LangChain professional who has successfully deployed LLM applications to production, rather than just building prototypes. They should be able to demonstrate how they handled challenges like model hallucinations, latency optimization, and security concerns.
Most LangChain development can be performed remotely, as the work involves software architecture and API integration. However, initial workshops for system architecture design and security planning often benefit from brief on-site sessions in hubs like Vienna or Graz.
Experienced LangChain professionals design architectures that keep sensitive Austrian customer data secure. They do this by utilizing local vector stores, anonymizing personal information before sending API requests, or deploying open-source models on private European cloud servers.
Standard LangChain chains are linear, while LangGraph allows specialists to build cyclical graphs, which are essential for complex agentic workflows. If your application requires agents to self-correct, loop through tasks, or maintain complex state, LangGraph is the appropriate tool.
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:
- Germany
- Austria
Vienna Graz Request a free demo
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Philipp Thomaschewski
FRATCH CEO
