Senior AI Engineer (Python)

Hybrid

Posted 3 months ago

Product & Innovation Unit

Job Description

As a Senior AI Engineer (Python) you will be working with a major manufacturing client building high-impact automation tools in a dynamic, startup-style environment. You’ll enjoy total creative freedom to architect solutions, drive innovation, and shape technical direction. You will be joining a lean, focused team composed of senior engineers - meaning low bureaucracy, high autonomy, and the ability to move fast and solve complex problems together.

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 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

Ready to Apply?

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About the job

Posted on: May 25, 2026
Job type: Full-time
Location: Vilnius/KaunasHybrid

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