.png){kind=logo}
Vetted LangGraph Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and AI agents
Mid-level AI/Software Engineer specializing in agentic AI and RAG systems
Senior Full-Stack Engineer specializing in cloud-native microservices, data engineering, and GenAI
Mid-Level Backend Engineer specializing in distributed microservices and FinTech systems
Executive Cloud Architect/Client CTO specializing in GCP, Azure, Kubernetes, and Generative AI
Principal Backend Software Engineer specializing in JVM microservices on AWS
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG, and GenAI pipelines
Senior AI/Full-Stack Engineer specializing in Generative AI and LLM platform integration
Mid-level Machine Learning/AI Engineer specializing in GenAI, RAG, and LLM inference
Mid-level Full-Stack GenAI/ML Engineer specializing in agentic AI and RAG systems
Intern Full-Stack/AI Engineer specializing in LLM applications and cloud-native web systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM applications
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”