AI/ML Developer

Join Civitta - an international company with 750+ colleagues across 20+ countries. We are delivering consulting, digital, funding, and public sector transformation projects across Central and Eastern Europe, Central Asia, the Caucasus, and other global markets.   Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.   Take the step towards your journey with us and join us as an AI/ ML Developer in Lithuania, Hungary, or Poland!

You will:

• Implement end-to-end AI features depending on the project, including, but not limited to: Computer Vision(detection/recognition pipelines, image preprocessing, evaluation, inference integration), NLP/Transformers (text classification, extraction, summarization, embeddings-based workflows), RAG / semantic search (ingestion -> chunking -> embeddings -> retrieval -> answer generation);
• Improve retrieval quality using two-stage search (vector retrieval + reranking using cross-encoders/rerankers) when relevant to the project;
• Work with vector search / vector databases in local and cloud setups: Self-hosted (Docker) and client environments, as well as cloud-managed search stacks (e.g., OpenSearch vector search, Azure AI Search hybrid/vector search);
• Build and maintain Python backend APIs (FastAPI/Django) that serve AI pipelines reliably (auth integration, error handling, basic performance considerations);
• Package solutions with Docker, help run deployments in cloud environments, and support debugging in dev/stage/prod;
• Collaborate with software engineers, data engineers, and consultants to deliver working solutions under real project timelines.

Requirements:

• 3+ years of Python development (or equivalent strong practical experience) and ability
  to ship working backend services;
• Hands-on experience building at least two of: NLP/Transformer-based pipeline, RAG /
  semantic search pipeline, Computer Vision pipeline;
• Familiarity with embeddings + vector search concepts (indexes, filtering/metadata,
  similarity search);
• Comfort with Docker, Git, and Linux basics (running services locally, troubleshooting
  dependencies);
• Practical mindset: you can translate requirements into an implementable pipeline and
  iterate quickly;
• Upper-intermediate English;
• Experience with IaaS cloud solutions (e.g., AWS, Azure, GCP), cross-encoders as rerankers, OpenSearch vector search, Azure AI Search hybrid retrieval and semantic reranking concepts, or basic ML serving/performance awareness would be a plus.