Hire LangChain developers

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!

Daniel is a senior full-stack/middle DevOps engineer with a strong product mindset, experience building and scaling SaaS platforms end-to-end, and production AI exposure. He enjoys working on technically challenging projects involving backend systems, data-heavy applications, and polished user experiences, especially early-stage or growth-phase products where he can own features from architecture through launch. Our technical interviewer recommends Daniel as a strong backend-focused engineer with solid infrastructure knowledge and excellent communication skills.

Claudio is a Senior AI Engineer with experience as a founding engineer and CTO, building production LLM-based systems, including RAG architectures and scalable ML solutions. He has delivered AI products using Python, AWS, and LangChain, with a strong focus on product impact and cost efficiency. His background spans early-stage startups, optimization-heavy systems, and technical leadership roles. He is known for clear, structured communication and a pragmatic engineering mindset.

Alberto is a senior full-stack developer with 9+ years of experience shipping complete web products end-to-end, from responsive UI to APIs, auth, payments, database design, and cloud deployment. He bootstrapped entire engineering platforms from zero, built B2B dashboards and customer-facing apps with minimal direction, integrated AI/LLM features (OpenAI, Whisper, GPT-4, LangChain) into production SaaS products, and designed distributed backends serving 40M+ users. Alberto can take full ownership — architecture decisions, CI/CD, observability, shipping cadence — and communicate asynchronously with zero hand-holding. Whether it's a greenfield MVP or scaling an existing product, he delivers production-ready code fast and keeps the codebase clean for whoever comes next.

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.

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.

Amandeep is a Strong Senior Data Scientist and ML Engineer with around 8 years of experience delivering production-grade machine learning solutions in finance. Her work spans the full ML lifecycle, from data processing and modeling to deployment and monitoring, using Python and a modern data stack. She has hands-on experience with AWS, Azure, and Databricks, and focuses on building scalable, reliable systems. Amandeep works closely with stakeholders, ensuring clear communication, proper validation, and shared ownership of outcomes. She is actively exploring LLMs and next-generation AI tools to broaden her technical scope.

Aram is a Senior Data Engineer experienced in building and running modern data platforms end-to-end, from ingestion to serving, with a focus on governance, quality, and reliability. He’s best suited for startups or scale-ups that value practical stability and self-service analytics over experimental stream processing.

Adil is a senior AI engineer with 8 years of experience in Python, machine learning, and production LLM-based systems. He has led multi-agent automation projects across legal, insurance, and sports analytics domains, demonstrating expertise in agent orchestration, cost optimization, and workflow architecture. Adil communicates technical concepts clearly, adapts to client needs, and is well-suited for independent, client-facing roles.