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Vetted LangChain Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in Computer Vision, NLP, and Generative AI
Mid-level Full-Stack Developer specializing in data platforms and analytics dashboards
Senior Machine Learning Software Engineer specializing in Azure enterprise AI
Junior Software Engineer specializing in AI automation and full-stack delivery
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Mid-Level Software Development Engineer specializing in cloud platforms, IAM, and secure GenAI
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
Adithya Gururaj
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”