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 will
Build production-ready RAG pipelines from scratch, including data ingestion, chunking, embedding, and vector database setup
Deploy LLM apps on cloud infrastructure without the usual enterprise security theater getting in your way
Design 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 warehouses
Set up proper monitoring and performance optimization so you'll know when things break before anyone else does
Own the full ML pipeline — from prototyping to production deployment
Communicate directly with stakeholders and contribute to shaping client solutions
Work on several projects in parallel, applying the latest technologies creatively to deliver value for each client
What you will bring
Proven skills in Python programming with experience writing production-level code
Experience 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 along
Ability to adapt and stay effective in changing project contexts
Clear communication skills and ability to collaborate directly with stakeholders when needed
Fluency in both Lithuanian and English languages, written and spoken
Nice to have:
Experience with vector databases (e.g., PostgreSQL, Weaviate) and RAG implementations
Knowledge of databases, SQL, data pipelines, and ETL processes
Comfort working independently in cloud environments, ideally Azure (but AWS or GCP are also valuable)
What we offer
A working culture that is high performing, ambitious, collaborative and fun
Health insurance and a yearly training budget (local and international conferences, language courses), employee-led workshops
Flexible working hours
Unlimited WFH (work from home) policy
Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team
Bonus for referrals
For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries
Office perks and team activities
