At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
We are looking for a Senior AI Engineer to join our team.
About the role
About the Project:
Join a fast-growing travel-tech company building a smart mobility platform that simplifies booking train, bus, and flight tickets across Europe and beyond. Our product helps millions of users find the best travel options by combining real-time data from hundreds of providers into one seamless experience.
We’re leveraging AI to power personalized recommendations, optimize search results, and enable dynamic pricing. You’ll work on cutting-edge ML models for demand forecasting, anomaly detection, content classification, and NLP-driven user experiences.
Team setup: You’ll work in a cross-functional team on the client side. Close collaboration with both business and tech stakeholders.
As a qualified expert, You will
- Design, develop, and deploy AI solutions leveraging LLMs and other ML techniques to drive real business impact.
- Lead the end-to-end ML lifecycle — from ideation and data exploration to model development, deployment, and monitoring.
- Build scalable and reliable AI systems to support global product expansion.
- Evangelize AI adoption across teams by showing measurable value.
- Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and ensure adoption.
- Present models, architecture, and results to both technical and non-technical stakeholders, including C-level.
We’re looking for you if you have
- Minimum 6+ years of experience in developing complex models and algorithms..
- Proven hands-on experience with Large Language Models (OpenAI, Claude, Gemini, LLaMA or similar).
- Strong understanding of LLM orchestration frameworks (LangChain, LangGraph, vLLM, LMDeploy).
- Solid programming skills in Python (primary) and Java, along with SQL.
- Experience building Retrieval-Augmented Generation (RAG) pipelines.
- Practical knowledge of prompt engineering to optimize LLM output.
- Experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
- Familiarity with MLOps and LLMOps best practices, including model evaluation, versioning, and monitoring.
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
- Excellent communication and presentation skills, with the ability to convey technical ideas to non-technical stakeholders.
- Self-driven and able to take ownership with minimal supervision.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Be among like-minded people
Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.
Interview steps
- Pre-screening with our recruiter
- Technical interview (up to 1 hour)
- Client interview (up to 1 hour)
