TL;DR
Senior AI/ML Engineer: Designing, building, and deploying production-grade machine learning systems at scale with an accent on influencing architecture, roadmap, and best practices for AI/ML across the organization. Focus on building AI agent systems and multi-step workflows, and fine-tuning encoder-based and generative models.
Location: Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Monterrey, Montevideo, Odesa, Remote.AR, Remote.Brazil, Remote.Bulgaria, Remote.Colombia, Remote.Poland, Riga, Rosario, Sofia, Varna, Warsaw, Wroclaw
Company
Our client is a leading corporation specializing in innovative technology solutions for the insurance industry.
What you will do
- Build AI agent systems and multi-step workflows using LangGraph
- Fine-tune encoder-based models and generative models for production
- Develop production Python applications with FastAPI/Flask that interact with AI models
- Design agentic workflows with tool usage, memory, and state management
- Deploy and monitor ML models in production environments
Requirements
- 4+ years ML/AI experience with strong Python software engineering skills
- Expertise in fine-tuning encoder models (BERT, RoBERTa) and working with LLMs
- Experience with LangGraph, AI agents, and multi-step reasoning systems
- Proficiency building production APIs and web applications (FastAPI, Flask, Django)
- Experience with PyTorch/TensorFlow, Hugging Face, vector databases, and RAG
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker)
- Understanding of MLOps tools and production ML systems
Nice to have
- Master's or PhD in Computer Science, ML, or related field
- Multi-agent systems and agent communication experience
- Advanced prompting techniques and reasoning patterns
- Publications or open-source contributions in AI/ML
- Experience scaling AI systems to high-traffic production environments
Culture & Benefits
- Vacation as per the laws of your country.
- Health insurance policy.
- 10 days of sick pay without a doctor's note.
- Time off for state holidays according to the official calendar.
- Pleasant environment with corporate parties and team get-togethers.
- Comfort service for solving technical and everyday problems at work.
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