IT Svit is a Ukraine-based IT consulting and development company with over 18 years of experience in delivering DevOps, Big Data, Cloud, and AI/ML solutions. We work with clients across the US, EU, and UK— from fast-growing startups to established enterprises — helping them build scalable and efficient software systems.
Our team brings together skilled engineers, data scientists, and cloud architects who value transparency, ownership, and long-term collaboration. At IT Svit, we focus on delivering real impact through cutting-edge technology, while fostering a supportive and growth-oriented environment for every team member.
Join us to work on challenging projects involving LLMs, MLOps, and modern cloud infrastructure — and grow alongside a team that values quality, autonomy, and continuous learning.
Requirements: — 5+ years of full ML lifecycle experience — Strong understanding of ML foundations — Experience with PyTorch (preferred) or TensorFlow — Experience with both closed-source (OpenAI, Google, Anthropic) and open-source (LLaMA, Mistral) models — Understanding of various prompting techniques (e.g., Few-Shot, Chain-of-Thought, ReAct) — Experience building RAG systems (e.g., LangChain, LlamaIndex) and agentic applications (e.g., LangGraph, CrewAI) — Familiarity with MLOps practices: model versioning, deployment strategies, observability and monitoring — Proficiency in cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), or Azure (Azure ML) — Python (required), JavaScript/Node.js (optional, for integration purposes) — Experience with SQL (BigQuery, PostgreSQL), NoSQL (MongoDB, DynamoDB), and vector databases (e.g., Pinecone, Qdrant, pgvector) — Hands-on experience with Docker/Kubernetes, Infrastructure as Code (e.g., Terraform, AWS CDK), and building serverless architectures
Responsibilities: — Design and implement AI-driven applications using LLMs from different providers (e.g., OpenAI, Google, Anthropic) — Build and deploy NLP and Generative AI models tailored for real-world use cases (chatbots, document parsing, knowledge systems) — Architect and implement retrieval-augmented generation (RAG) systems and semantic search using vector databases (e.g., Pinecone, Qdrant, pgvector) — Architect and implement cloud-based AI solutions with AWS (Sagemaker, Bedrock), GCP (Vertex AI) or Azure (Azure ML) — Develop AI agents with real-time interactions utilizing speech-to-text (Whisper, Deepgram) and text-to-speech (ElevenLabs) — Collaborate with cross-functional stakeholders to translate domain-specific needs into working AI tools — Ensure production-grade quality: scalability, cost-efficiency, monitoring, and fallback/human-in-the-loop systems — Complete discovery phases for AI-powered product development (e.g., calls with clients, implementation plans, estimations, Q&A rounds)
Nice to have: — CTO / Tech Lead experience on AI products — Experience in industries like telehealth, hospitality, or manufacturing — Familiarity with regulations (GDPR/CCPA) — Experience with Computer Vision projects (especially in GenAI, e.g., txt2img, img2img, txt2video generation) — Worked with multilingual NLP systems — Low-latency conversational AI (speech-to-text, text-to-speech)
We offer: — All the regular HR benefits including taxes compensation — Remote and flexible work — 28 days off per year — Paid vacation and sick leaves — Regular online company events
