About Us
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.
Role Description
As a Software Engineer (Python, AI), you'll tackle fascinating technical challenges across diverse domains—from medtech and airport operations to logistics and energy systems. You'll architect RAG pipelines that actually work at scale, build intelligent agents that solve real problems, and create voice interfaces that people actually want to use. Whether you're wrangling massive airport datasets, building ML pipelines for medical devices, or deploying AI systems that handle millions of requests, you'll work with cutting-edge tools and have the freedom to experiment with the latest techniques. This isn't about moving corporate needles—it's about building genuinely useful AI systems that work in the real world, with a team that values clean code, smart architecture, and solving hard problems.
Responsibilities
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 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
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)
