AI Developer
Role details
Job location
Tech stack
Job description
As a Sollers developer, you'll have the opportunity to continuously expand your skill set, navigate complex challenges, and contribute to the creation of solutions that empower businesses and individuals alike., * 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.
Requirements
- 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., * 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.
Benefits & conditions
- 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!