Senior AI Engineer (Python)
Some ghost-posting signals
- open for 75 days (60–89 days is elevated risk)
- 19 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
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
Flexible working hours
Bonus for referrals
Employee-led workshops and office perks
Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team
Unlimited WFH (work from home) policy
For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries
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