Pre-screened and vetted in Georgia.
Intern Software Engineer specializing in cloud, backend APIs, and LLM evaluation
Mid-level Software Engineer specializing in LLM applications and developer tooling
Senior Full-Stack Developer specializing in AWS cloud-native backend and data engineering
Senior Machine Learning Engineer specializing in Generative AI and LLM applications
Senior Backend Software Engineer specializing in cloud-native microservices for healthcare
Mid-Level Software Engineer specializing in backend microservices and FinTech
Director of Software Engineering specializing in supply chain platforms
Senior Python Backend Engineer specializing in microservices, cloud, and healthcare/telecom platforms
Junior Data Scientist specializing in ML, LLMs, and RAG applications
“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
“Backend engineer focused on cloud analytics/cost-optimization systems, with strong AWS-centric architecture experience (serverless Lambda, ECS, CloudWatch). Demonstrated deep PostgreSQL/SQLAlchemy optimization at million-record scale (including JSONB/GIN indexing) and built production ML inference services with S3-based model versioning and Airflow retraining pipelines. Also has hands-on multi-tenant SaaS design (separate schemas + RLS) and high-throughput background processing using Celery/Redis with measurable performance gains.”
Senior DevOps / Site Reliability Engineer specializing in cloud infrastructure
“GCP-focused database/platform engineer with hands-on production experience operating Cloud SQL at scale, especially around performance tuning, reliability, and day-2 operations. Has supported migration from a single-instance database setup to a more scalable GCP architecture and built Terraform/Python automation for provisioning and recovery workflows.”
Executive technology leader specializing in SaaS product and engineering
“Entrepreneur building an AI-driven outbound growth and automation startup, currently self-funding development through consulting while validating market demand. Stands out for combining technical workflow automation with practical go-to-market experimentation, including deliverability-focused outbound systems and webinar partnerships with local experts to drive trust and conversion.”
Mid-level Full-Stack Software Engineer specializing in .NET, Angular, and Financial Services
Mid-level Software Engineer specializing in backend systems and data pipelines
Junior Full-Stack Software Engineer specializing in cloud platforms and RAG/LLM evaluation
Mid-level AI/ML Engineer specializing in MLOps, real-time pipelines, and cloud deployment
Senior Software Engineer specializing in Java Spring microservices and React
Mid-level Backend Software Engineer specializing in AWS, FastAPI, and FinTech systems
Senior Software Engineer specializing in Python and modern web applications