RESPONSIBILITIES:
Design and deploy microservices and back-end systems with a focus on generative AI and chatbot applications.
Integrate and optimize third-party AI products, including LLMs and related orchestration frameworks.
Optimize AI pipelines using vector databases (e.g., Pinecone, Chroma, Vanna) and tools like LangChain and LlamaIndex for efficient retrieval-augmented generation.
Collaborate with cross-functional teams to capture, clarify, and translate stakeholder requirements into technical solutions.
Stay ahead of AI trends by prototyping emerging tools and standards (OpenAI APIs, AI agents, multimodality) to drive innovation.
Ensure adherence to AI protocols, standards, and best practices throughout the software development lifecycle.
REQUIREMENTS:
At least 1+ years of experience in Back-End roles, including building microservices (FastAPI, Django) and working with REST/gRPC APIs.
Hands-on experience working with GenAI tools and frameworks, including LangChain, LlamaIndex, and RAG pipelines.
A solid grasp of AI integration patterns — prompt engineering, model fine-tuning, and vector database optimization.
Upper-Intermediate English.
OPPORTUNITIES:
Excellent work environment: the company is big enough to be reliable, yet small enough to be person-oriented;
Full-cycle projects and product development;
Training & development-focused approach: clear roadmap for training employees to sustain and enhance the productivity of the organization as a whole, internal technical meetups, free English classes;
Collaboration with the teams from the European Union and the United States both onsite and remotely.