Project length - 3 months with potential extension

We are seeking a highly motivated Data Scientist / Python developer to play a key role in the design, development, and deployment of cutting-edge agentic AI systems. This role focuses on building intelligent agents that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), orchestration frameworks, and tool integrations. You will collaborate closely with backend engineering teams to develop prototypes and scalable AI services that deliver real-world impact.

Key Responsibilities:

• Design and implement agent architectures capable of reasoning, planning, and tool-based execution using LLMs.
• Develop and evaluate techniques such as RAG, memory/context management, and decision trees to optimize agent workflows.
• Integrate external tools (e.g., APIs, internal platforms, plugins) into agent frameworks for complex task execution.
• Partner with engineering teams to ensure end-to-end deployment of LLMs and orchestration logic.
• Experiment with different models, prompting strategies, and evaluation methods to enhance agent autonomy and performance.
• Stay current with emerging trends and advancements in agentic AI, LLM technologies, and open-source ecosystems.
• Deliver high-quality prototypes, technical documentation, and POCs.

Technical Skills:

• Strong programming skills in Python, with proficiency in AI/ML libraries (e.g., PyTorch, TensorFlow, Transformers).
• Hands-on experience with RAG, prompt engineering, embeddings, and vector databases.
• Familiarity with orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or Autogen.
• Basic understanding of DevOps/MLOps practices related to model deployment and monitoring.
• Proven ability to take ambiguous ideas from concept to working prototypes.

Preferred Qualifications:

• Master’s degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
• 4–7 years of hands-on experience delivering Python-based solutions in production or enterprise environments.
• Solid experience in Machine Learning or AI system delivery.
• Prior experience building multi-agent or autonomous AI systems is a strong advantage.
• Exposure to containerization and orchestration tools like Docker and Kubernetes is a plus.
• Strong communication skills and the ability to work collaboratively across teams.

We offer:

• Friendly, professional staff and a warm atmosphere.
• The environment where you can implement your ideas.
• Paid vacations and sick leaves.
• Medical insurance.
• Opportunity to work remotely.
• Participation in educational activities and thematic conferences.
• Team parties and corporate events.