Hire Bubble developers

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!

Emanuel is a strong senior AI engineer and AI agent architect with deep expertise in Python, AWS, LLMs, RAG, and MLOps. He has led end-to-end delivery of production AI systems in regulated domains, including healthcare and real-time sports betting, with a compliance-first and evaluation-driven approach. Emanuel demonstrates mature architectural thinking, hands-on ML lifecycle ownership, and clear, client-focused communication. His background spans classical ML, neural networks, and GenAI, with proven leadership and innovation in both startup and enterprise settings.

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.

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.

Alex is a senior AI Engineer with strong expertise in NLP, LLMs, and data science applications across industries. His hands-on experience in building RAG projects and enterprise knowledge solutions highlights his technical proficiency. His vast AI portfolio includes a multi-agent system for causal measurement across advertising platforms, AI chatbots, a semantic search system, and recommendation engines.

Jakub is a full-stack developer with extensive experience working with Node.js, React.js, Typescript, and Next.js. He has up-to-date knowledge of technologies, a positive attitude, and the skill to ask the right questions, making him a valuable developer for any project. Jakub has extensive experience in the Fintech domain and is ready to work in healthtech, education, or gaming. With a strong passion for education and technology, he has led a variety of international projects and mentored interns and junior developers.

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.

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.