Senior AI/ML Engineer

We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients.
This role is a great fit for an experienced engineer who combines strong Machine Learning fundamentals with hands-on Generative AI expertise and knows how to take AI solutions from idea and experimentation to scalable production systems.

Responsibilities
Design, develop, and deploy production-ready AI/ML solutions.
Build solutions using LLMs, RAG, embeddings, vector databases, and AI agents.
Design and optimize ML/LLM pipelines.
Integrate AI capabilities into existing products and backend systems.
Work with structured and unstructured data at scale.
Implement evaluation frameworks and continuously improve model and LLM output quality.
Optimize AI systems for latency, scalability, reliability, and cost.
Select appropriate models, frameworks, and architectural approaches based on project requirements.
Participate in technical discovery, solution design, and estimation.
Collaborate directly with international clients and engineering teams.

Requirements
5+ years of commercial Software Engineering / Data / ML experience, including at least 3 years of hands-on AI/ML experience.
Strong proficiency in Python.
Solid commercial experience with Machine Learning and Deep Learning.
Hands-on experience with PyTorch, TensorFlow, or scikit-learn.
Production experience with LLMs and Generative AI.
Practical experience designing and implementing RAG systems.
Experience with OpenAI, Anthropic, Gemini, or open-source LLMs.
Experience with LangChain, LlamaIndex, or similar frameworks.
Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or pgvector.
Good understanding of embeddings, reranking, prompt engineering, fine-tuning, and model evaluation.
Experience building production APIs using FastAPI, Flask, or similar frameworks.
Experience with Docker, Git, and CI/CD.
Hands-on experience with AWS, GCP, or Azure.
Strong understanding of software engineering principles and system design.
Upper-Intermediate English or higher for direct communication with international clients.

Nice to Have
Experience with fine-tuning, LoRA, or PEFT.
Experience building AI agents or multi-agent systems.
MLOps experience with MLflow, Kubeflow, Airflow, or similar tools.
Kubernetes experience.
Experience with the Hugging Face ecosystem.
Background in NLP, Computer Vision, or Recommendation Systems.
Experience designing high-load AI/ML systems.
Previous experience in an outsourcing/outstaffing environment and direct communication with clients.

What We Offer
Fully remote work.
International projects across different industries and business domains.
Opportunity to work with modern AI/ML and Generative AI technologies.
Real production challenges rather than only PoCs and prototypes.
Direct impact on architecture and technical decisions.
Direct communication with international clients.
Professional growth and knowledge sharing within a strong engineering environment.
Long-term cooperation and the opportunity to work on technically challenging projects.