Pre-screened and vetted.
Mid-level Data Engineer specializing in AI/ML, RAG systems, and cloud data pipelines
“Built a production lead-generation system using AI agents that researches the internet for relevant leads and integrates RAG-based contact enrichment/shortlisting aligned to existing CRM data, enabling sales reps to focus more on selling. Also has hands-on AWS data orchestration experience (Glue, Step Functions) moving raw data into Redshift and evaluates agent performance with human-in-the-loop plus BLEU/perplexity metrics.”
Mid-level Backend & Blockchain Engineer specializing in Cosmos SDK and EVM
“Built and productionized an LLM+RAG lending assistant on AWS to help loan officers quickly answer questions from credit policies and prior decisions, tackling hallucinations with retrieval-only responses and a no-context fallback. Also automated end-to-end ETL and model retraining/deployment using Apache Airflow, and has experience translating clinical stakeholder needs (doctors/care managers) into ML features, metrics, and dashboards.”
Mid-level Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
“Backend/infra-focused engineer who owned production systems for distributed ML experimentation (hyperparameter tuning across a cluster with GPU scaling, custom scheduling, and checkpoint-based fault tolerance). Also built and operated a low-latency log validation service using queued async workflows with idempotency, retries/backoff, and strong observability, plus experience building resilient Selenium-based browser automations for complex multi-step web flows.”
Mid-level Data Engineer specializing in cloud data platforms and ETL automation
“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”
Principal/Chief Cloud Architect specializing in AWS serverless SaaS platforms
“Interested in early-stage ideation and evaluating new ideas through market viability and values alignment. Emphasizes building focused MVPs with limited resources using a value-first prioritization approach, and prefers people-centered concepts rather than profit-only ventures.”
Senior Data Engineer specializing in cloud lakehouse and AI/ML pipelines
Senior Backend Software Engineer specializing in Python and AWS cloud-native systems
Mid-Level Software Engineer specializing in cloud-native backend systems
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and real-time fraud detection
Mid-Level Software Engineer specializing in cloud-native backend and full-stack web development
Mid-level AI/ML Engineer specializing in MLOps, NLP, and multimodal healthcare AI
Senior Backend Engineer specializing in AWS cloud-native Python services and data pipelines
Junior Backend & ML Engineer specializing in distributed systems and MLOps
Mid-Level Software Developer specializing in backend APIs and cloud microservices
Junior Software Engineer specializing in full-stack web and cloud-native ML systems
Mid-Level Software Engineer specializing in healthcare automation and serverless systems
Senior Software Engineer specializing in AWS-native backend and data engineering
Junior Software Engineer specializing in AWS cloud and data engineering
Senior Software Engineer specializing in AWS-native Python backend and data pipelines