About Livano

Bringing transparency to property value.

For too long, valuing a home in Albania meant guesswork, asking prices and opaque opinions. We built Livano to replace that with data, models and reasoning anyone can inspect.

Our mission

A fair, defensible number for every property

We combine real transactions, live listings and market signals with machine learning to produce valuations that are fast, accurate and, crucially, explainable. Whether you're a family buying your first home or a bank valuing a portfolio, you deserve to know not just the number, but why.

  • Data over opinion
  • Explainability over black boxes
  • Access for everyone, not just institutions
A modern home in Albania
Our team & technology

Data scientists and engineers, specialised in real estate

Livano is built by a team of data scientists and engineers who specialise in the real estate industry. They bring hands-on experience from building valuation and property products at world-leading proptech companies.

Experience from

ZooplaZillowHometrackCalcasaGoogleRightmovePriceHubbleHouseCanaryRedfin

Real-estate specialists

A team that has built valuation and property products at some of the biggest names in proptech, now focused entirely on Albania.

State-of-the-art AVM

Our automated valuation model is state of the art, built on the latest advances in artificial intelligence and machine learning.

Proven worldwide

The methods behind our engine are proven across property markets around the world, and now we have brought them home to Albania.

What we value

The principles behind the product

Transparency

Every valuation shows its reasoning: comparables, drivers and confidence.

Rigour

We benchmark relentlessly against realised prices and publish our accuracy.

Access

From a free instant check to enterprise APIs, everyone gets the same engine.

Where we're headed

“Our goal is simple: make property value in Albania as transparent and trustworthy as a stock price.”

The Livano team

Careers

Come build Livano with us

We are a small team turning Albania's messy property data into intelligence people can trust. If that sounds like your kind of problem, we would love to hear from you. We are hiring for four roles right now.

Head of Data Engineering & Strategy

Up to €5,000 / month

Own the end-to-end data lifecycle that powers our AI. You will architect the data factory that ingests millions of points from public records, geospatial sources and alternative data, then turn raw data into the knowledge assets that fuel our Automated Valuation Models (AVMs).

Key responsibilities and what we are looking for

Key responsibilities

  • Strategy and vision. Define the technical roadmap for Livano's data platform and make sure it scales to handle 10x growth in data volume and complexity.
  • Team leadership. Recruit, mentor and lead a high-performing team of data and analytics engineers, and build a culture where data beats opinions.
  • Data architecture. Design and oversee a modern, modular data stack (for example Snowflake, Databricks, dbt) that supports both batch and real-time streaming.
  • AVM enablement. Partner closely with Data Science to build the feature stores and pipelines that high-accuracy valuation models depend on.
  • Data governance and quality. Put rigorous observability and quality frameworks in place so our AVMs are never thrown off by bad input data.
  • PropTech integration. Manage complex integrations with third-party data providers, property feeds and geospatial datasets.

What we are looking for

  • 10+ years in data engineering, including 3 to 5 years in a leadership role at a high-growth tech company.
  • Expert-level Python, SQL and cloud infrastructure (AWS or GCP), with deep experience in dbt, Airflow or Dagster, and Snowflake or BigQuery.
  • Prior experience in PropTech (think Zillow, Zoopla or Rightmove) or FinTech is a strong plus. You understand how messy real estate data can be.
  • Hands-on enough to jump into a pull request, strategic enough to present the data roadmap to the board.
  • BS or MS in Computer Science, Engineering or a related quantitative field.
Apply for this role

Data Science Lead

Up to €3,500 / month

Be the primary architect of our intelligence engines. You will lead the development, deployment and optimisation of our Automated Valuation Models and predictive tools. This is a player-coach role: you set the scientific standard, translate business goals into mathematical problems and make sure our AI gives the most accurate property insights on the market.

Key responsibilities and what we are looking for

Key responsibilities

  • AVM leadership. Own the lifecycle of our core valuation models, from feature engineering and tuning to A/B testing and production deployment.
  • Feature innovation. Explore unconventional data sources, from satellite imagery to transit expansion plans, to find new signals that drive property value.
  • Strategic roadmap. Work with Product and Engineering to decide which AI capabilities we build next, such as image recognition for home condition or rental yield forecasting.
  • Mentorship. Lead and grow a team of data scientists and ML engineers, with a culture of rigorous experimentation.
  • Explainable AI. Develop methods that make our models interpretable, so users understand why a property is valued the way it is.
  • Quality benchmarking. Define and track model performance (MAE, MAPE, PPE10) against industry standards so Livano stays a market leader.

What we are looking for

  • PhD or Masters in a quantitative field (Statistics, Physics, Computer Science, Economics or similar).
  • 7+ years in data science, with at least 2 years leading teams in production (PropTech or FinTech preferred).
  • Expert-level Python and libraries such as XGBoost, LightGBM and PyTorch or TensorFlow, plus a deep understanding of geospatial analysis (GIS, PostGIS, GeoPandas).
  • Experience with cloud ML platforms (SageMaker, Vertex AI or Databricks) and the unique challenges of thin or noisy property data.
  • The ability to explain a gradient-boosted tree to a real estate agent or a board member with equal clarity.
Apply for this role

AI Engineer

Competitive salary

Build and ship the generative and multimodal AI that sets Livano apart. You will work across large language models and diffusion models to turn unstructured property data, from listing text to photos, into structured signals and rich, on-brand content.

Key responsibilities and what we are looking for

Key responsibilities

  • LLM systems. Design, fine-tune and deploy LLM pipelines (RAG, function calling, structured output) that parse listings, extract property attributes and generate natural-language valuation explanations.
  • Diffusion and vision. Use Stable Diffusion and related models for image generation, inpainting and augmentation, plus computer-vision feature extraction from property photos (condition, room type, quality signals).
  • Feature extraction. Turn raw text and imagery into model-ready features for the AVM, and build the embeddings and vector search behind similarity and retrieval.
  • Inference and MLOps. Own the serving stack, from GPU scheduling and quantisation to latency, cost and evaluation harnesses.
  • Applied research. Track the frontier of open-weight LLMs, LoRA fine-tuning and multimodal models, and turn promising papers into production features.
  • Evaluation and safety. Build rigorous eval sets and guardrails so generated content and extracted features stay accurate and never hallucinated.

What we are looking for

  • Strong Python and deep-learning frameworks (PyTorch, Hugging Face Transformers and Diffusers).
  • Hands-on experience with LLMs (fine-tuning, RAG, prompt and agent design) and diffusion models (Stable Diffusion, ControlNet, LoRA).
  • Experience with vision models (CLIP, segmentation, OCR) and turning images into features.
  • Comfort with GPU infrastructure, model serving (Triton, vLLM or similar) and vector databases (pgvector, FAISS or Pinecone).
  • A builder's mindset: you ship, measure and iterate quickly.
Apply for this role

Real Estate Analyst

Competitive salary

Be the market voice inside Livano. You will turn our data into analysis, insights and reports that sharpen our valuations and guide the product, bringing a real estate and risk lens that the models alone cannot.

Key responsibilities and what we are looking for

Key responsibilities

  • Market analytics. Analyse transactions, listings and macro trends across Albania to explain what moves prices by city, neighbourhood and property type.
  • Insight and reporting. Produce clear dashboards, market reports and the narrative behind the numbers for internal teams, partners and, in time, the Livano House Price Index.
  • Valuation review. Sanity-check AVM outputs against on-the-ground reality, flag edge cases and feed domain knowledge back to Data Science.
  • Risk lens. Assess valuation confidence, exposure and data-quality risk, and help define how we communicate uncertainty to banks and partners.
  • Domain input. Bring real estate expertise to feature design, comparable selection and how we segment the market.

What we are looking for

  • A background in real estate, property finance or a risk function (valuation, banking, lending or investment).
  • Strong analytical skills with SQL and spreadsheets; comfort with a BI tool (Looker, Power BI or Metabase) is a plus.
  • A real feel for the Albanian property market and how buyers, sellers and lenders behave.
  • A clear communicator who can turn data into a story a non-technical audience trusts.
  • Detail-oriented and healthily sceptical.
Apply for this role

Don't see your role?

We are always glad to meet talented people who want to shape property intelligence in Albania. Send an open application and tell us how you would help build Livano.

Send an open application

Build with us.

Partner on data, pilot AVM Pro, or integrate our API. We'd love to talk.

Get in touchTry a valuation