Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud-native data engineering
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Junior AI Data Engineer specializing in Azure Databricks lakehouse and GenAI RAG systems
“Backend/applied AI engineer from Cloud Rack Systems who built production GenAI/RAG and data platforms on Azure/Databricks at enterprise scale (2.5M records/day). Known for making LLM systems behave like deterministic services via strict retrieval contracts, citation-based validation, and strong observability—shipping a knowledge assistant used daily by 50+ users while driving hallucinations near zero and materially improving latency and cost.”
Mid-level AI/ML Software Engineer specializing in GPU-optimized LLM inference and cloud microservices
“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”
Mid-level AI Engineer specializing in GenAI, agentic workflows, and RAG systems
“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and Angular
“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Senior AI/ML Engineer specializing in Generative AI, NLP, and MLOps
Mid-level Full-Stack/Backend Engineer specializing in cloud microservices and ML platforms
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Mid-Level Machine Learning Engineer specializing in NLP and Generative AI
Mid-level Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Software Engineer specializing in distributed systems and ML/LLM inference performance
Senior Software Engineer specializing in AI platforms and cloud-native systems
Junior Data Scientist specializing in LLMs, RAG, and agentic AI systems