Pre-screened and vetted.
Senior AI/ML Engineer specializing in LLMs, RAG, and product-driven AI systems
Mid-level Full-Stack Developer specializing in Python, Django/FastAPI, and React
Senior Python Backend Engineer specializing in microservices and cloud-native APIs
Mid-level Python Developer specializing in backend APIs and AWS cloud-native systems
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Senior Full-Stack Developer specializing in Python microservices and cloud platforms
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Senior Full-Stack Engineer specializing in Python web platforms and cloud systems
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Mid-level Python Developer specializing in backend APIs and cloud-native systems
“Backend-leaning engineer who has significantly owned the architecture behind complex browser-based internal analytics dashboards for enterprise operations teams. Stands out for connecting Python/FastAPI/Django backend design, async processing, PostgreSQL optimization, and browser performance improvements to make real-time monitoring UIs faster and more usable.”
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
“LLM/RAG practitioner who has taken a support-ticket triage automation system from prototype to production, building the full pipeline (fine-tuned models, FastAPI inference services, vector storage, monitoring) and delivering measurable impact (~40% reduction in triage time). Demonstrates strong operational troubleshooting of LLM/agentic workflows (observability-driven debugging, fixing agent routing/looping) and supports adoption through tailored demos and sales-aligned technical communication.”
Mid-level Python Backend Developer specializing in APIs, automation, and data pipelines
“Backend Python engineer with end-to-end ownership of secure financial data systems integrating banking/credit/payment platforms, including automated ingestion and reconciliation of large financial statements. Built modular Dockerized Django REST services with pandas-driven validation/normalization and Postgres/Mongo persistence, and supported a phased migration from legacy VM services to AWS containers with stateless refactors and parallel-run integrity checks (run IDs/checksums). Works closely with platform teams on GitOps/CI readiness and deployment coordination (e.g., ArgoCD-managed sync policies).”