Hire Bubble developers

Tyler is a Senior AI Engineer with 20 years of software engineering experience and a PhD in Computational Social Science, building production AI systems for regulated industries such as healthcare, HR tech, and legal tech. He works across Python, PyTorch, LLMs, RAG, and AI agents, with full-stack depth in Node.js, React, and Ruby on Rails. Through his consulting practice he built a real-time voice AI sales coach for a global enterprise software company that the client reported saved millions of dollars, and he has delivered HIPAA-compliant clinical software and self-hosted LLM deployments where data residency rules out third-party APIs. A former CTO who grew an engineering team from 2 to 10, he favors predictable, testable architectures and owns his systems in production.

Tarik is an expert in data engineering, machine learning, and large language models, holding a PhD in Graph Theory. He is also proficient in Python, Pandas, and Scikit-learn, and has successfully designed and delivered advanced NLP and AI solutions, including cutting-edge RAG systems. With a deep understanding of machine learning concepts and exceptional problem-solving skills, Tarik consistently drives impactful results in AI-driven and data-intensive projects!

Roselyn is a Senior AI Engineer with 8+ years in software development, about 5 of them focused on AI, building LLM applications across fintech, edtech and logistics. Her core stack is Python, FastAPI, LangChain/LangGraph, OpenAI APIs and PostgreSQL, backed by hands-on deployment experience with Docker, AWS, GCP, Kubernetes and Terraform. She’s strongest on the hard parts of RAG: structure-aware chunking, two-stage retrieval with reranking, and layered evaluation with LangSmith, Ragas and MLflow. She also designs multi-agent workflows with clear routing and human-in-the-loop escalation. She scopes before she builds, works confidently in lean teams, and owns delivery end-to-end, from first prototype to production support.

Levi is a senior AI engineer with strong hands-on experience in Python, LLMs, LangChain, and LangGraph, focusing on agentic AI systems and applied automation. He has delivered multi-agent chatbots, document automation, and compliance solutions for business and financial domains. Screenings confirm his solid theoretical grounding, product-mindedness, and effective communication with both technical and non-technical stakeholders.

Jefferson is a Senior AI Engineer with 11+ years rooted in NLP and computational linguistics — a rare foundation that shapes how he approaches LLM systems at the data layer, retrieval design, and evaluation. He covers the full AI engineering stack: agentic orchestration (LangGraph, CrewAI, AWS Bedrock AgentCore), RAG pipelines with chapter-aware chunking and semantic retrieval surfaces, and multi-model GenAI workflows with structured quality evaluation. He's taken sole architectural ownership of production agentic platforms at enterprise scale, and brings genuine pre-transformer NLP depth — spaCy, BERT, NER, classical ASR — that most LLM engineers simply don't have. Best fit as the AI/NLP design lead on a RAG or agentic product where retrieval architecture and orchestration quality matter more than raw Python backend throughput.

Enes is a highly skilled engineer with extensive expertise in AI, machine learning, and data science, capable of contributing to all stages of a project. His work primarily focuses on natural language processing (leveraging LLMs such as OpenAI, Llama 2, and Mistral) and computer vision. He has hands-on experience with generative AI, image creation, document classification, and large-scale ML models. With a strong theoretical foundation, including an MA in NLP, and a proven track record of leading AI teams, Enes combines deep technical expertise with excellent communication skills, making him a valuable asset to any team

Javier is a Senior AI Engineer with strong hands-on expertise in LLM application design, RAG systems, and agentic orchestration using Python, LangChain, and AWS. He has led the development of applied AI solutions for regulated domains, including pharma and legal, focusing on retrieval pipelines, prompt engineering, and system evaluation. Screenings confirm clear technical communication, stakeholder collaboration, and ownership of complex AI projects. His backend skills are solid but less advanced than his AI engineering strengths.

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!

Diogo is a Senior AI/ML Engineer and Data Scientist with 7 years of experience across applied machine learning, LLM applications, and data engineering, backed by a strong statistics and research background (23 publications). He has built both custom transformer models and production RAG agents, a combination his technical interviewer called unusual. In his current startup role he owns the ML system end to end, and his custom models outperform frontier LLMs by over 3x on key prediction tasks, helping the company secure investment. Measurement-first and autonomous, he’s comfortable working directly with founders and CTOs.