orchestration patterns;Retrieval-Augmented Reasoning;semantic enrichment and knowledge graph integration;prompt engineering..., hands-on review across AWS and GCP, alignment with enterprise standards. Build the supervisor, intake, and data-source...
, RAG pipelines, or multi-agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph... monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open-source ML...
in DevOps, cloud infrastructure, CI/CD automation, Kubernetes, and Neo4j Graph Database administration. The successful candidate... available production environments. Key Responsibilities Design, deploy, administer, and maintain Neo4j Graph Database platforms...
designing retrieval pipelines, semantic search, and knowledge graph integration. Expertise in AWS and Google Cloud Platform... and build supervisor, intake, and data-source-level AI agents. Implement multi-agent orchestration and reasoning workflows...
;Retrieval-Augmented Reasoning;semantic enrichment and knowledge graph integration;prompt engineering;identity-as-code... across AWS and GCP, alignment with enterprise standards. Build the supervisor, intake, and data-source-level agents;implement...
, and data debugging support to offshore engineers. Support data validation during migration and help resolve source-side Ab... between source (Ab Initio) and target (Databricks) outputs. Support data validation and reconciliation throughout the migration...
workflow Nice to Have Strong attention to detail and comfort working with imperfect, multi-source data Exposure to API... integrations (Microsoft Graph API or similar) Familiarity with Power Automate or other low-code automation tools Experience...
end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA..., Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems. Architect and implement GraphRAG pipelines...
FastAPI serving. Over the next phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source... with Qdrant, Neo4j, or other vector/graph infrastructure Experience supporting RAG, search, evaluation, or agent platforms...
for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data... development. Demonstrated leadership in technical communities, open source contributions, or industry forums. Chase...