AI systems integrator delivering ML/LLM solutions to production at scale
Provectus is an outcomes-focused AI professional services firm built around deep technical implementation rather than pure consulting. The tech stack—AWS SageMaker, Bedrock, Hugging Face, OpenAI, Anthropic, plus MLOps infrastructure (Spark, Great Expectations, RAG)—reflects a company executing generative AI and ML deployment, not just advising on it. Active hiring across engineering (138 roles), sales (60), and data (22) with heavy senior/lead weighting signals aggressive scaling of delivery capacity and client-facing ML expertise.
Notable leadership hires: Machine Learning Tech Lead, ML Tech Lead, Machine Learning Lead, Data Practice Lead, Generative AI Tech Lead
Founded in 2010, Provectus operates as an AI-first systems integrator for mid-market to enterprise clients pursuing ML and generative AI transformation. The company ties revenue to measurable outcomes rather than project scope—a business model requiring both deep technical execution and sustained operational accountability. Core work spans cloud data platform migrations, MLOps pipeline implementation, LLM fine-tuning, RAG system architecture, and data governance. Engineering, sales, and data practice leads drive delivery across 11 hiring countries, with significant presence in Eastern Europe and North America.
AWS (SageMaker, Lambda, ECS, ECR, Bedrock, EMR, Athena, SQS), GCP, Azure, Hugging Face, OpenAI, Anthropic, PyTorch, TensorFlow, Python, Docker, Apache Spark, Dask, RAG, and Trino. Currently adopting Hugging Face, OpenAI, and Anthropic models.
Ukraine, Colombia, Georgia, Serbia, Romania, Armenia, United Kingdom, Costa Rica, Slovakia, Poland, and United States. Eastern Europe and Latin America represent significant hiring footprint alongside U.S. presence.
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