(Junior) AI Developer

ABOUT THE ROLE. YOU WILL:

• Implement AI-driven solutions for international clients, with a strong focus on LLMs, agentic architectures and data-centric engineering.

• Develop and integrate Python-based backend components that interact with LLM APIs and local/on-premise models.

• Build and maintain RAG pipelines, vector databases and retrieval logic.

• Implement integrations with external systems, internal APIs and AI model endpoints.

• Design and develop agent-based architectures and orchestrations for complex workflows.

• Work with Docker and Docker Compose to create reproducible development and production environments.

• Collaborate directly with clients, architects and other developers as an active member of an agile project team.

ABOUT THE REQUIREMENTS. YOU NEED:

• At least 1 year of commercial experience as a software developer (or relevant hands-on experience in AI/ML/LLM engineering).

• Strong knowledge of Python 3 (OOP, functional programming, modular code design, clean code principles).

• Good command of SQL and experience working with relational databases.

• Practical experience integrating with LLM APIs (OpenAI, Azure OpenAI, Ollama, Hugging Face, Anthropic, etc.).

• Understanding and hands-on experience with prompt engineering techniques.

• Practical experience building or modifying RAG pipelines (document preprocessing, retrieval tuning, chunking strategies, embeddings).

• Familiarity with vector databases (e.g., Qdrant, Pinecone, pgvector).

• Understanding of agent-based architectures (multi-agent workflows, tool usage, Orchestrators, ReAct patterns).

• Knowledge of Docker and Docker Compose.

• Experience working with Git (branching strategies, PR reviews, CI/CD basics).

• Fluency in English (B2/C1 level at least).

• Availability to work full-time and ability to work in the European Union.

About the wishes. Nice to haves:

• Experience with frameworks such as LangChain, LangGraph, Haystack or similar agent/RAG frameworks.

• Knowledge of graph databases (especially Neo4j).

• Experience with ML libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.

• Hands-on experience running open-source LLMs locally using tools such as Ollama, vLLM or Text Generation Inference.

• Familiarity with MLOps/LLMOps concepts (logging, tracing, experiment tracking, Langfuse).

• Exposure to modern cloud platforms (Azure, AWS, GCP) and AI-related services.

• Demonstrated ability to learn quickly and a strong interest in emerging AI technologies.

ABOUT OUR PROMISES. WE CAN OFFER:

• Flexible working hours and a hybrid home office model (2-3 times per week in the office) as work-life balance is crucial at Sollers.

• A chance to be promoted twice a year and a clearly defined career path with salary forecast.

• Opportunities for growth with a training budget that you can use for courses and conferences. We also provide access to an online training platform and co-fund language classes.

• An internal coach to guide you through the onboarding, further training and career opportunities, plus a budget to be used for your lunches together.

• A chance to #domore for the planet and the community as part of Sollers Change Makers – our volunteering program.

• Lots of teambuilding activities, trips, hobby groups and cultural events to create a company powered by teamwork.

• Probably all the benefits you can think of!