7 hand-picked devs help SAVR build a planet-saving app

Kaspars is a senior AI engineer with verified expertise in production ML systems, RAG, multi-agent architectures, computer vision, and MLOps. He has led end-to-end AI projects in manufacturing, logistics, and generative personalization, demonstrating strong architectural ownership and risk-aware decision-making. Interviewers' feedback highlights his hands-on delivery, business maturity, and nuanced engineering judgment!

Benjamin is a middle-to-senior backend engineer with experience in Go, async API design, and cloud architecture across GCP and AWS. He has built and shipped end-to-end product backends, including CI/CD and schema migrations, and demonstrates solid engineering judgment. He has worked with enterprise companies such as IBM and Thomson Reuters and is also a community organizer for a publishing platform focused on knowledge sharing.

This engineer has experience with Python, SQL, cloud services, and various data science-related ecosystem tools. He also has a strong understanding of some of the cloud-related MLOps concepts. Brian is adept at effectively managing non-technical stakeholders and communicating complex ideas clearly. Proficient in developing and deploying LLMs, ML models, and pipelines, Brian is a skilled AI engineer as well. Outside of daily work, Brian can be found practicing some sports, including muay thai!

Juan Pablo is a senior AI engineer and agent architect with deep expertise in Python, FastAPI, Django, AWS, and production AI agent systems. He has led the architecture, evaluation, and deployment of multi-agent platforms, demonstrating rigorous evaluation methodology, safety instincts, and strong business framing. His experience includes leading teams, building agentic automation, and delivering measurable business outcomes. He demonstrates strong ownership, clear stakeholder communication, and the ability to translate complex AI concepts into practical business solutions.

Viktor is a Senior backend and Mid-to-Senior full-stack engineer with strong Python fundamentals, practical machine learning experience, and solid product development skills. He has led end-to-end product development, combining backend engineering with machine learning and user-facing application development, and is comfortable communicating with stakeholders. His strengths include backend engineering, ML problem solving, product development, and clear communication. He is best suited for backend-heavy or ML-enabled product roles, particularly where he can contribute to building and improving data-driven products.

Marcello is a Strong Senior AI Engineer with 14 years of experience across machine learning, reinforcement learning, and LLM-based agent systems. He has led end-to-end AI solutions using Python, LangChain, RAG, AWS, and Azure, with a focus on structured data extraction and scalable agent orchestration. He combines strong technical depth with pragmatic decision-making, grounded in real-world constraints and business needs. Marcello is an effective client-facing engineer who communicates clearly, aligns stakeholders, and delivers production-ready systems. His experience spans both startup and enterprise environments, with a hands-on and ownership-driven approach.

Hamzat is a Senior AI and Machine Learning Engineer with 6 years of experience building production AI systems across fintech, legal tech, healthcare, and compliance. He specializes in document intelligence, RAG pipelines, multi-agent architectures, and hands-on model fine-tuning, including QLoRA and QuartzNet. He has strong expertise in system design, vector databases, evaluation, and monitoring, with a proactive communication style, strong ownership, and a client-focused mindset.

Abdulhakeem has a lifelong passion for numbers and discovering insightful patterns within them. Although he started as a Data Engineer, Abdulhakeem has now grown into a senior AI engineer who can bridge data systems and LLM integration. He's adept at tackling projects of any complexity and would excel in roles ranging from engineering to solution architecture and team leading. Additionally, he is well-versed in cloud solutions like AWS and GCP. Despite his extensive experience in tech, Abdulhakeem also finds joy in music and has recorded his own tracks in the past.