Senior AI/Machine Learning Engineer (LLM)

Senior AI / Machine Learning Engineer

Full-time | Remote | Long-term engagement

Start: ASAP

Candidate location: EU

About the role:

We are looking for a hands-on Senior AI / Machine Learning Engineer to join our international engineering team. The role combines Machine Learning, LLMs, backend development, and MLOps, with a strong focus on building and integrating AI solutions into real applications and business workflows.

Key requirements:

• Strong Python and software engineering skills
• Significant backend development experience
• Experience building APIs and internal services
• Solid understanding of Machine Learning and the ML lifecycle
• Practical experience with LLMs / Generative AI
• Experience integrating LLMs into real applications and business workflows
• English B2+ — confident spoken English is required
• Daily communication in English with an international team — including meetings and technical discussions, not only written communication
• Strong AWS experience
• Understanding of MLOps
• Experience with Docker and basic Kubernetes
• Experience working with databases
• Understanding of asynchronous programming and concurrency
• Experience with authentication and authorization
• Ability to run, deploy, and test solutions locally

Relevant technologies & experience:

• OpenAI, AWS Bedrock, Google Gemini
• RAG and vector search
• Embeddings
• LLM evaluation and optimization
• Fine-tuning / adapting foundation models
• LangChain or LangGraph
• MLflow, Kubeflow, SageMaker
• Kafka, Redis, or similar distributed systems technologies

What we offer:

• International environment — work with an international team and communicate in English every day
• Like-minded team — supportive colleagues, knowledge sharing, and collaborative work
• Professional growth — opportunities to develop your technical expertise and take on new challenges
• Long-term cooperation — we are looking for someone who wants to grow with the company
• Real-world AI projects — build production solutions with LLMs and Machine Learning
• Fast hiring process — we are hiring urgently, so the process will include only 2–3 interview stages
• Room for initiative — your ideas, ownership, and contribution are valued