The Role
As a Software Engineer, you will build AI systems, work with ML pipelines, deploy applications, and collaborate with stakeholders across diverse domains.
Summary Generated by Built In
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.
As a Software Engineer (Python, AI), you'll tackle fascinating technical challenges across diverse domains—from medtech and airport operations to logistics and energy systems. You'll architect RAG pipelines that actually work at scale, build intelligent agents that solve real problems, and create voice interfaces that people actually want to use. Whether you're wrangling massive airport datasets, building ML pipelines for medical devices, or deploying AI systems that handle millions of requests, you'll work with cutting-edge tools and have the freedom to experiment with the latest techniques. This isn't about moving corporate needles—it's about building genuinely useful AI systems that work in the real world, with a team that values clean code, smart architecture, and solving hard problems.
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
- 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)
Nice to have:
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.
Top Skills
AWS
Azure
Etl Processes
GCP
Llm Frameworks
Python
SQL
Vector Databases
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The Company
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
