Senior Software Engineer

Join Leonata – Build the Future of AI Without the Hype

At Leonata, we’re rewriting the rules of AI. No hallucinations. No black-box models. Just pure, deterministic AI that actually understands your data. We build cutting-edge knowledge graph technology that empowers developers, researchers, and security-conscious teams to extract real insights—without the noise, cost, or risks of traditional LLMs.

If you’re tired of hype and want to shape the future of precision AI, join us. We move fast, solve real problems, and give engineers the freedom to innovate. Let’s build something game-changing.

Role Description

Results-driven Software Engineer with 2 - 5 years of experience in AI-powered applications, knowledge graph development, and NLP. Expertise in building scalable, deterministic AI pipelines that structure unstructured data for search, analytics, and decision-making. Passionate about privacy-first AI and leveraging graph databases to deliver accurate, explainable insights.

Adept at retrieval-augmented generation (RAG), Graph-RAG, and agentic workflows, ensuring precision, efficiency, and explainability in AI-powered applications. Passionate about creating secure, cost-effective alternatives to cloud-based LLMs with strong NLP, vector search, and graph database expertise.

Technical Skills

✅ Programming Languages: Python, Java, Rust, TypeScript

✅ Graph & Databases: Neo4j, RDF/SPARQL, PostgreSQL, Elasticsearch

✅ NLP & AI: Spacy, OpenAI API, Transformers (Hugging Face), Custom LLM Pipelines, Agentic processes

Technical Skills (detailed)

Programming & Development

• Languages: Python, Rust, Java, TypeScript, C++
• Frameworks: FastAPI, LangChain, LlamaIndex, Haystack
• Graph & DBs: Neo4j, ArangoDB, RDF/SPARQL, PostgreSQL, ClickHouse, DuckDB
• Vector Search: FAISS, Milvus, Weaviate, ChromaDB

AI & NLP

• Agentic AI: Autonomous AI workflows, function-calling agents, multi-agent coordination (AutoGPT, BabyAGI, CrewAI)
• RAG & Graph-RAG: Fine-tuning RAG pipelines, integrating structured knowledge retrieval with LLMs
• NLP & Semantic Understanding: Spacy, NLTK, Hugging Face Transformers, BERT, OpenAI APIs
• Knowledge Graphs: Ontology design, entity resolution, triple store optimization
• Custom LLM Pipelines: Fine-tuning and distillation of open-source LLMs (Llama, Mistral, Falcon)

Data Engineering & Processing

• Big Data & Streaming: Apache Kafka, Spark, Dask, Airflow
• ETL & Data Pipelines: Pandas, Polars, dbt, Parquet, ORC
• Indexing & Search: Elasticsearch, OpenSearch, BM25, hybrid search (sparse + dense)

Security & Privacy

• Airgapped AI Systems: Deploying offline, deterministic knowledge graph processing
• Data Compliance & Governance: GDPR, HIPAA, SOC 2, confidential computing
• Zero Trust & Secure Computing: Homomorphic encryption, differential privacy, confidential AI