Lead AI Engineer (Python) at NFQ
Vilnius/Kaunas
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Jul 14, 2026
Vilnius/Kaunas
Jul 21, 2026
What this job asks for AI summary
A hands-on AI engineering role focused on building and shipping LLM-powered applications to cloud infrastructure, designing reasoning agents, and integrating AI with enterprise systems such as ERPs and data warehouses. The position also involves owning the full machine learning pipeline, guiding a development team, and working directly with business stakeholders. Suits an experienced Python developer with practical LLM and AWS background who is comfortable in a leadership capacity.
Senior level · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is based in Lithuania (NFQ is a Lithuanian tech company; the salary is quoted in EUR and the posting requires Lithuanian fluency), so US compensation benchmarks do not apply.
The title is not stated in the posting — the role is framed generically as an AI/LLM engineering position with team-lead responsibilities, so advertised seniority is unspecified. The scope (end-to-end ML pipeline ownership, leading a development team, direct stakeholder engagement) supports a Senior classification.
RAG, MCP, LangChain, and LlamaIndex are listed together as interchangeable examples of LLM frameworks under the requirements section ('such as'); RAG is used as the primary name with the others as alternatives.
The posting requires fluency in both Lithuanian and English — a hard language gate that cannot be represented as a technology skill and is noted here for hiring-manager awareness.
The 'Unlimited WFH' policy applies within NFQ-approved countries, not as a fully location-agnostic remote arrangement; remote is set to false accordingly.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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