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AI Engineer (Python)

Posted about 1 month ago

OfficeVilnius/Kaunas46k - 79k EUR
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
  • 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.
    Job details
    Workplace
    Office
    Location
    Vilnius/Kaunas
    Salary
    46k - 79k EUR
    per year

    NFQ is a strategic technology partner providing advisory and digital solutions to forward-thinking companies seeking digital transformation at scale. Operating in e-commerce, omnichannel retail, transportation, logistics, the sharing economy, travel, and finance, NFQ has a global presence in 10 countries across Europe, North America, Asia, and the Middle East. With worldwide reach and expertise, NFQ's technical teams have played a pivotal role in the success of startups and corporations, including HomeToGo, KAYAK, Shopware, and home24.

    Employees
    415
    Industry
    IT Services and IT Consulting
    Headquarters
    Munich
    Company location
    Munich, DE
    Specialties
    E-business solutions, Web & Mobile development, E-commerce projects, Travel projects, PHP, JAVA, Meta search, E-business platforms, .NET, Aviation projects, Logistics projects, Retail sollutions, FinTech, Startup, Infrastructure, TravelTech, React, Spryker, Sylius, Symfony, AWS, Business Development, Scaling strategy, Software engineering, Data Engineering, Data Science, and Data Analytics

    Key team members

    Thomas Cort Hansen

    Thomas Cort Hansen

    Jean-Philippe Paquin

    Jean-Philippe Paquin

    Matt Nettleton

    Matt Nettleton

    Marc Somma

    Marc Somma

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