We are currently looking for reinforcement as soon as possible as

AI Developer (m/f/d)

AI Developer (m/f/d)

You develop and maintain AI-based applications with a focus on Large Language Models (LLMs), chatbot systems, RAG architectures (Retrieval Augmented Generation), and machine learning. You work with modern AI frameworks such as LangChain, Hugging Face, or OpenAI APIs and implement them in production applications. You implement intelligent document processing pipelines, build RAG systems for context-aware AI responses, develop prompt engineering strategies, and optimize AI models for specific use cases. You work independently in an agile team and bring innovative AI solutions to production maturity.

Location:Dresden
Work mode:Home-office possible
Employment:Full-time / Part-time
Very flexible working hours with hybrid option
Salary:Negotiable

Responsibilities

Your main tasks and areas of responsibility:

  • Development and implementation of LLM-based applications and chatbots
  • Building RAG systems (Retrieval Augmented Generation) for context-aware AI applications
  • Development of intelligent document processing pipelines (PDF, Word, Excel, etc.)
  • Implementation of document chunking, embedding strategies, and semantic search
  • Prompt engineering and optimization of AI models for various use cases
  • Integration of AI APIs (OpenAI, Anthropic, Google AI, etc.) into existing systems
  • Data analysis, data preparation, and feature engineering for ML models
  • Building and maintaining vector databases for RAG systems
  • Performance optimization and monitoring of AI applications
  • Collaboration with software developers and domain experts for integrating AI solutions

Your main tasks and areas of responsibility:

  • Development and implementation of LLM-based applications and chatbots
  • Building RAG systems (Retrieval Augmented Generation) for context-aware AI applications
  • Development of intelligent document processing pipelines (PDF, Word, Excel, etc.)
  • Implementation of document chunking, embedding strategies, and semantic search
  • Prompt engineering and optimization of AI models for various use cases
  • Integration of AI APIs (OpenAI, Anthropic, Google AI, etc.) into existing systems
  • Data analysis, data preparation, and feature engineering for ML models
  • Building and maintaining vector databases for RAG systems
  • Performance optimization and monitoring of AI applications
  • Collaboration with software developers and domain experts for integrating AI solutions

Who we are looking for?

What you should bring:

  • Professional training or degree in Computer Science, Data Science, AI, or comparable qualification
  • Excellent Python skills and experience with ML/AI frameworks
  • Practical experience with Large Language Models and prompt engineering
  • Knowledge of RAG systems and document processing
  • Experience with vector databases and embedding technologies
  • Knowledge of data analysis and machine learning pipelines
  • Passion for AI technologies and innovative solutions
  • Analytical thinking and problem-solving skills
  • Good German and English language skills

Required Skills

Education

Professional training or degree in Computer Science, Data Science, AI, or comparable qualification

Python

Excellent knowledge of Python for ML/AI development

LLM Frameworks

Experience with LangChain, LlamaIndex, or similar frameworks

AI APIs

Practical experience with OpenAI, Anthropic Claude, or open-source LLMs

Prompt Engineering

Strong knowledge in prompt engineering and LLM optimization

Data Analysis

Experience in data analysis with pandas, numpy, and scikit-learn

Vector Databases

Knowledge of vector databases (Pinecone, Weaviate, ChromaDB, pgvector)

RAG Systems

Experience in building Retrieval Augmented Generation systems

Document Processing

Knowledge in document parsing, chunking, and embedding strategies

Preferred Skills

Machine Learning

Experience with TensorFlow, PyTorch, or Hugging Face Transformers

FastAPI

Knowledge of FastAPI for API development

Docker & Kubernetes

Experience with container technologies for ML deployments

Databases

Knowledge of SQL (PostgreSQL) and NoSQL (MongoDB, Redis)

MLOps

Experience with MLflow, Weights & Biases, or similar tools

Cloud Platforms

Knowledge of AWS, Azure, or Google Cloud for AI services

NLP

Understanding of Natural Language Processing and language models

Frontend Integration

Basic knowledge in Vue.js, React, or similar frameworks

Elasticsearch

Knowledge of Elasticsearch for hybrid search (keyword + semantic)

Document Processing Libraries

Experience with PyPDF2, unstructured, LangChain Document Loaders

Why Helm & Walter? What we offer you

Work Environment

Modern hardware and access to current AI tools and technologies

Working Hours & Vacation

Very flexible working and vacation times, even on short notice

Innovation

Work on exciting AI projects with cutting-edge technologies

Professional Development

Budget for conferences, training, and AI certifications

Team Culture

An innovative team focused on AI development and knowledge sharing

What you can expect from us:

  • Permanent employment and performance-based salary
  • Very flexible working hours and vacation time - even at short notice
  • Air-conditioned and ergonomic workplace according to your wishes
  • Modern development tools and methods
  • Free drinks and snacks
  • A friendly, uncomplicated work environment and respectful "Du" culture
  • Opportunities to contribute and develop yourself and us further
  • A strong team that doesn't leave you alone
  • Diverse tasks, partly according to your own interests and strengths