The Role
The AI Engineer will build and deploy AI solutions, manage ML pipelines, integrate AI into existing systems, and collaborate with stakeholders.
Summary Generated by Built In
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
- 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)
Nice to have:
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
Salary range: € 3850 - 6600 gross / month
If you have any questions, please contact me at [email protected] or via Linkedin.
Check all our career opportunities here.
Skills Required
- Proven skills in Python programming with experience writing production-level code
- Experience with LLM frameworks (LangChain, LlamaIndex)
- Fluency in Lithuanian and English languages
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The Company
What We Do
Technologies, expertise, and right attitudes behind globally scaling business. A 900-strong team in Europe and Asia specializing in technologies, business impact processes and advisory in areas such as e-commerce/retail, mobility, transport & logistics, travel
