AI/ML Developer (Senior-level)

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:

• 6+ 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.

Benefits:

Professional Growth – We support your career development, offering performance and salary reviews once a year to ensure your progress is recognized and rewarded;
Flexible Working Hours – Manage your workday with flexibility and the option to work from home when needed, while enjoying our city-centre office as a convenient, collaborative workspace;
Culture & Connection – From team bonding activities like Christmas parties and summer events to spontaneous celebrations, monthly breakfasts, or team lunches, we celebrate wins—big or small—together;
International Offsite Trips – Each year, we travel to an exciting destination to spend time with the entire Civitta team, strengthening connections and creating unforgettable memories;
Gifts Programme – Welcome boxes, birthday surprises, and holiday cheer ensure your special moments are always recognized;
Continuous Learning – From expert-led trainings to personal development budgets, your growth is our priority;
Local Benefits Package.