Pre-screened and vetted.
Senior AI/ML Engineer specializing in Generative AI, LLMs, and data platforms
Entry-Level Software Engineer specializing in full-stack, data engineering, and AI systems
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Junior Full-Stack Software Engineer specializing in AI and data pipelines
“Built and shipped a production AI assistant for a web-based loan/interest calculator that helped users understand EMI results and optimize inputs. Demonstrated full-stack ownership across responsive UI, Node.js APIs, and LLM integration, with a strong focus on prompt refinement, guardrails, caching, fallbacks, and post-launch iteration driven by logs and user behavior.”
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Senior Full-Stack Engineer specializing in Python/Flask, React, and autonomous AI systems
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”