At BlueSoft, we are a team of engineers and technology experts dedicated to solving real business problems using cutting-edge technology. We specialize in AI-driven solutions, cloud optimization, application modernization, and software development to help businesses transform and grow. If you’re passionate about cloud technologies and want to work in a forward-thinking company where you can make a genuine impact, we’d love to hear from you.
Position Overview:
We’re seeking a Python Developer with a strong background in working with Large Language Models (LLMs), Data Science , and agentic AI frameworks. In this role, you’ll design and build prototypes, experiment with novel approaches to business processes, and deliver AI-driven solutions that bring real value to our clients. You’ll collaborate with cross-functional teams, from data scientists and ML engineers to product strategists, ensuring that our AI solutions not only push the technological envelope but also solve tangible business problems.
Key Responsibilities:
- Prototyping & Experimentation:Rapidly build and iterate on prototypes leveraging LLMs, vector databases, and knowledge graphs to explore new AI-driven capabilities.
- Agentic Solution Development: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, … , integrating reasoning steps, planning capabilities, and tool usage.
- Data Analysis and Categorization: Utilize data science algorithms for data categorization, clustering, and analysis. Perform graph analysis to understand data relationships and leverage community detection algorithms like Leiden for insights.
- RAG Integration: Develop retrieval-augmented generation workflows and document retrieval to enhance context relevance. Use various approaches to RAG (GraphRag, AgenticRAG, …)
- Prompt Engineering: Craft, refine, and iterate complex prompts to elicit high-quality outputs from LLMs. Using different prompting techniques to achieve the best business results.
- NLP & ML Operations: Work closely with ML engineers and data scientists to fine-tune models, create embeddings, and optimize prompts for performance, accuracy, and cost-effectiveness.
- Scalable & Maintainable Code: Write clean, modular, and testable Python code, ensuring high reliability, maintainability, and performance of deployed solutions.
- Collaboration: Partner with cross-functional teams—including DevOps, AI researchers, and customer success—to understand requirements, guide technical decision-making, and translate client needs into working solutions.
- Continuous Improvement: Stay current with the rapidly evolving LLM and NLP ecosystem, experiment with new approaches, and continuously refine our internal tooling and best practices.
What We’re Looking For:
Experience:
- Core Engineering: 3+ years of experience in Python development, with strong knowledge of best practices, code structure, and testing frameworks.
- LLM & NLP Expertise: Hands-on experience working with large language models (e.g., GPT-4, Claude, LlaMA …) and a solid understanding of prompt engineering, embedding techniques, and fine-tuning.
- Agentic Frameworks: Familiarity with building agent-based AI solutions using frameworks like LangChain, CrewAI, … , including chain-of-thought reasoning, action planning, and tool orchestration.
- Data Science & Analysis: Proven ability to apply data science algorithms for categorization, clustering, and graph analysis. Experience with community detection methods such as Leiden algorithm for network analysis and insight extraction.
- Vector Databases & Knowledge Graphs: Experience integrating vector databases and knowledge graphs into RAG pipelines, optimizing search and retrieval for improved model context.
- ML Tooling: Comfortable working with libraries like Hugging Face Transformers, sentence-transformers, and related NLP tooling.
- Language Skills: Strong command of English (B2+ level or above), with excellent written and verbal communication abilities.
Additional Skills (Nice to Have):
- Cloud & DevOps: Basic knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker), and CI/CD pipelines.
- Business Acumen: Ability to connect technical capabilities to business value and communicate these insights clearly to non-technical stakeholders.
- Model Training Background: Experience or familiarity with training machine learning models, including fine-tuning pre-trained models for specific tasks.
- Language Skills: Knowledge of German
We offer:
👨💻 Work in a team of interdisciplinary experts and technology enthusiasts, inspired by working in a flat hierarchy;
📈 Permanent full-time cooperation in an extraordinary company, which has been growing dynamically for 20 years;
🚀 Possibility of development in various IT projects realized for well-known and recognizable clients – leaders in their industries;
🥇 The ability to work with the latest technologies and the highest standards of development;
⌚️ Flexible working hours and a hybrid or fully remote working model (different arrangements apply in different teams, we do not impose any options);
☁ A number of initiatives supporting knowledge sharing and development, such as: internal training, thematic guilds, Cloud training and certification opportunities (technology partnerships in four clouds);
📣 Possibility to learn English or German online and English lessons for teams;
🏋️♂️ Multisport card and medical insurance;
⛵️ Sea adventures co-financed by company – we regularly sail in the Caribbean, Mediterranean or North Sea.
