We are an 800+ strong team whose ideas underpin successful exits, IPOs, strong financial results and competitive advantages as well as novel processes, new business models and great user experiences. We focus on e-commerce, mobility, and transport & logistics, while always keeping an eye on emerging segments as well.
We rethink processes, business models and architecture, not to mention tech stacks. This approach opens doors for our people to find their own ways and solutions and bring their own ideas to life, learning and advancing both within and across teams and departments.
We say no to office politics and pointless meetings. We celebrate curiosity, experimentation, and passion beyond code. We are very open to people growing both within and beyond their teams and departments. And this is where we suggest starting today.
Our Product & Innovation Unit's culture celebrates curiosity, experimentation, and passion beyond code. We offer a politics-free environment that encourages personal growth and cross-team collaboration.
Join our team in developing an LLM-based Customer Support Assistant aimed at improving support team efficiency by up to 50%. This solution is designed to help companies streamline their customer support operations and enhance productivity. We have already made progress in building the product, and your contribution would help us move forward more quickly.
This position is currently open only for applications located in Lithuania.
In this role, you will
- Contribute to creating quality products and AI topic within NFQ
- Takeover the knowledge of experienced AI specialist while developing a solution
- Apply engineering best practices to the current team environment
- Contribute to decisions regarding the project roadmap
- Make prototypes that quickly prove the feasibility of solutions
- Design and implement solutions that meet client needs
What you will bring
- Proven experience in AI Engineering role: prompt engineering, model fine-tuning, working with embedding models, evals and implementing LLM observability best practices
- Experience with commercially available APIs for content generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes
- High curiosity to stay up to date with the evolution of AI field
- Strong skills in Python programming
- Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker
- Experience working in an Agile environment
- Fluency in both Lithuanian and English languages
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: € 3500 - 6500 (gross / month)
If you have any questions, please contact me at [email protected] or via Linkedin.
Check all our career opportunities here.
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What We Do
Technologies, expertise, and right attitudes behind globally scaling business. A 900-strong team in Europe and Asia specializing in technologies, business impact processes and advisory in areas such as e-commerce/retail, mobility, transport & logistics, travel
