We build the tech that moves industries forward. We have our eyes set on AI, energy, logistics, sports and other complex and exciting segments.
We believe in an innovative approach to solving deep issues and encourage our people to find their own solutions. We are constantly rethinking processes, business models, architecture, and tech stacks.
We foster a sense of curiosity, experimentation, and passion beyond code. With us, you can easily deepen your knowledge in any field you’re curious about. And because we work across many industries, you’ll be gaining the experience others can only dream of.
In this role, you willBuild production-ready RAG pipelines from scratch, including data ingestion, chunking, embedding, and vector database setupDeploy LLM apps on cloud infrastructure without the usual enterprise security theater getting in your wayDesign AI agents that can actually reason through complex problems (not just fancy chatbots)Integrate AI solutions into existing systems such as ERPs, CRMs, and data warehousesSet up proper monitoring and performance optimization so you'll know when things break before anyone else doesOwn the full ML pipeline — from prototyping to production deploymentCommunicate directly with stakeholders and contribute to shaping client solutionsWork on several projects in parallel, applying the latest technologies creatively to deliver value for each clientWhat you will bringProven skills in Python programming with experience writing production-level codeExperience with LLM frameworks (LangChain, LlamaIndex, or you've built your own because existing ones weren't good enough)Genuine curiosity about new tech and willingness to dive deep when something interesting comes alongAbility to adapt and stay effective in changing project contextsClear communication skills and ability to collaborate directly with stakeholders when neededFluency in both Lithuanian and English languages, written and spoken
Nice to have:
Experience with vector databases (e.g., PostgreSQL, Weaviate) and RAG implementationsKnowledge of databases, SQL, data pipelines, and ETL processesComfort working independently in cloud environments, ideally Azure (but AWS or GCP are also valuable)What we offerA working culture that is high performing, ambitious, collaborative and funHealth insurance and a yearly training budget (local and international conferences, language courses), employee-led workshopsFlexible working hoursUnlimited WFH (work from home) policyExtra vacation days: 2 after working at NFQ for two years and 4 after four years on our teamBonus for referralsFor those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countriesOffice perks and team activities