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Vetted LangChain Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud platforms and data engineering
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems
Mid-Level Software Engineer specializing in AWS cloud-native distributed systems
Intern Full-Stack Engineer specializing in AI-driven RAG applications
Mid-Level Full-Stack Software Engineer specializing in test automation platforms
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-Level Software Engineer specializing in distributed systems and AI agent platforms
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Senior Software Engineer specializing in AWS distributed systems and developer tools
Mid-level AI Solutions Architect & Product Leader specializing in enterprise GenAI systems
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Ashish Ernest Jeldi
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”