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 and deploy production-ready LLM applications on cloud infrastructure
Design AI agents capable of reasoning through complex problems
Integrate AI solutions with existing systems, including ERPs, CRMs, and data warehouses
Implement monitoring and performance optimization solutions to identify potential issues before they impact users
Own the end-to-end machine learning pipeline, from prototyping to production deployment
Lead the development team and contribute to key technical decisions
Collaborate directly with stakeholders to understand business needs and translate them into effective AI solutions
What you will bring
Strong Python programming skills and experience writing production-level code
Hands-on experience with LLM frameworks and technologies such as RAG, MCP, LangChain, or LlamaIndex
Solid knowledge of SQL and NoSQL databases
Familiarity with CI/CD principles and pipelines
Practical experience with AWS cloud services
Curiosity about emerging technologies and motivation to build innovative products from scratch
Ability to adapt and stay effective in a fast-changing environment
Experience leading or supporting a development team
Clear communication skills and the ability to collaborate directly with stakeholders
Fluency in both Lithuanian and English, written and spoken
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
