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Senior AI Engineers, Leading the Way
Battle-tested specialists who integrate seamlessly into your team and deliver from day one.
The minds powering our AI initiatives
Being AI-driven at Oxagile begins with people, not tech platforms. Engineers apply AI to uncover patterns in complex datasets, optimize system behavior, and embed intelligence directly into workflows. This AI-native mindset runs across teams, shaping the way we approach every project.
Alexey Karankevich
AI Innovation Lead
15+ years of expertise
For me, AI transformation is about more than models. It’s balancing research with delivery, guiding teams to build reliable systems, and solving the practical challenges of bringing AI into prod.Background and expertise
- 15+ years in mobile product development, data mining, machine learning, and digital signal processing
- Leads AI initiatives from concept to production, combining architectural depth with engineering leadership
- Completed the MITx MicroMasters® Program in Statistics and Data Science
Yariv Z. Levy, PhD
AI Strategy Advisor
20+ years of expertise
My goal is to translate AI research into usable solutions across domains. I’ve helped pharma, consumer goods, and consulting teams adopt AI to improve operations, products, and decisions.Background and expertise
- 20+ years leading AI adoption and innovation across several verticals
- PhD in AI (UMass Amherst, mentored by a Turing Award laureate), MSc (EPFL)
- Led AI initiatives at Roche (oncology decision support), Nestlé (medical nutrition R&D), and ELCA (data science consulting)
“My approach brings together coding and architecture to craft systems that are robust, usable, and trusted.”
Background and expertise
- Solutions architect and engineer, 10+ years driving digital transformation
- AWS Certified AI Practitioner and Generative AI Developer
“I focus on creating LLM and agentic AI solutions that are solid, maintainable, and reliable for teams and users.”
Background and expertise
- 10+ years building production-grade software for finance, e‑commerce, and media
- Focuses on LLM-based solutions and coding agents.
“I connect client goals with data and models, delivering AI solutions that work reliably beyond the lab.”
Background and expertise
- Supports Oxagile’s AI projects with Python, AWS, Docker/K8s, Airflow, SQL expertise
- Created a predictive anomaly detection pipeline, cutting QA costs by 30%
Looking to explore the potential of your AI initiative?
Our AI experts are ready to analyze your data, uncover high-value opportunities, and outline strategies to maximize ROI.
Built by engineers, led by practice
Dmitry Karpovich drives Oxagile, bringing 20+ years of hands-on experience developing and scaling complex software. He specializes in enterprise solutions, AI-driven applications, and advanced video technologies, where reliability and production readiness matter most.
Founder’s perspective
“AI only creates value when it is engineered into systems that people can trust. We approach AI the same way we approach any critical technology, with strong fundamentals and clear responsibility. That mindset starts with leadership and is shared by every engineer on our team.”
Dmitry Karpovich
President, Oxagile
Discover our AI products
Voiager
Voiager conducts voice interviews, collects insights, and returns real-time operational intelligence.
Austra Nova
Austra Nova runs a full calling operation: places and answers calls, qualifies leads, and updates systems on its own.
AI as a discipline, not a feature
Across every discipline, strong fundamentals are embedded into how we engineer software and find AI developers for every initiative. Our methodology turns data, models, and automation into systems that are ready for production from day one.
Agentic AI
We build autonomous and semi-autonomous AI agents with LLM orchestration, RAG, tool use, memory, and workflow automation. Our agents balance real-time execution with human-in-the-loop controls for accountable outcomes.
Advanced R&D
Oxagile approaches AI projects beyond pre-built models, experimenting and fine-tuning NLP, computer vision, recommendation engines, and analytics. We also handle model compression and adaptation.
AI-native engineering
Our engineers create AI systems with scalable pipelines, reproducible experiments, and robust MLOps. CI/CD, testing, telemetry, explainability, and compliance are built in, delivering traceable, reliable, and KPI-aligned solutions.
AI experts are a message away
The people you’ll talk to here stay close to the technical side of AI. They build systems, improve workflows, and share practical insights with the wider community at industry events, conferences, and workshops.
