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Alexandra Alexis

LangChain Engineer
Worked with Citi.
With 7+ years of experience building, testing, and maintaining infrastructures and tools to allow for the speedy development and release of the software. Proven expertise in setting up CI/CD for applications, Policy Automation, Jenkins, Web Logic, Java applications, and AWS CodeDeploy.

Chris Simpson

LangChain Engineer
Worked at Syngenta and Charter.
Chris Simpson has been a web developer (HTML, CSS, and JavaScript) for 16 years. His first 8 years were full-stack with C# and ASP.Net, and the last 8 years have been front-end with jQuery, Angular.js, and Vue.js. Most of his web development experience has been with internal tools within Telecommunications, Healthcare, and Biotech. He likes to work with AI, IoT, AU, Blockchain, VR, robots or 3D printing; and/or within software, electronics, material science, sensing, biotech, green tech, frontier research or military tech. He enjoyed doing R&D and prototyping more than production work.

Rachael Mathew

LangChain Engineer
Skilled in ML, AI, and AWS.
Passionate about developing web applications and creating seamless user experiences. Skilled in React, Django, and database management. Strong problem-solving and communication skills.

Richard Ball

LangChain Engineer
Principal data scientist at Kinetic.
Experience leading the machine learning competency, which involves scoping machine learning problems and driving project adoption, deploying and managing fraud detection and NLP models in our production machine learning infrastructure on AWS, and building a new infrastructure for production machine learning using Spark and MLflow.

Nikhil Sharma

LangChain Engineer
Proficient in Kubernetes, Terraform, LLMs, and LangChain Run.
Full-stack Flutter developer with 5 years of Flutter and 6 years of programming experience, building web and mobile applications
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Frequently asked questions

Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.