Posted 2 months ago

AI Engineer (Python)

VilniusRemoteFull-time

AI Summary

An AI Engineer builds production-ready RAG pipelines and deploys LLM apps on cloud infrastructure, designs AI agents, integrates AI into enterprise systems, and owns the full ML pipeline from prototyping to production.

About this role

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

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 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

Skills

AWSAzureETLGCPLangChainLlamaIndexLLM DeploymentMonitoringPostgreSQLPythonRAGSQLVector DatabasesWeaviate

AI Engineer (Python)

About this role

In this role, you will

What you will bring

What we offer

Skills

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