Artificial Intelligence Engineer
- Украина
- Постоянная работа
- Полная занятость
- Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.
- Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
- Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.
- Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.
- Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- Wellbeing and professional coaching
- English classes
- Soft skills training
- 3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.
- 5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.
- Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
- Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.
- Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.
- Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.
- Strong communication skills and the ability to collaborate across product and engineering teams.
- Fluent written and verbal communication skills in English