Pre-screened and vetted.
Mid-Level Software Development Engineer specializing in GenAI and full-stack cloud systems
“Full-stack engineer with experience across Magna, C3.ai, and Amazon, building GenAI-enabled products and finance transaction systems. Has shipped Next.js (App Router) + TypeScript features backed by Go/Python RAG pipelines, and emphasizes production quality via load testing, Selenium regression coverage, LLM-aware integration testing, and Azure observability. Also built LangGraph-orchestrated multi-step content generation workflows with robust retry/idempotency strategies.”
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and scalable ML systems
“ML/LLM engineer at Adobe who deployed a transformer-based personalization and campaign-targeting recommender system end-to-end, including PySpark/Airflow pipelines processing 12M+ events/day and containerized inference on AWS SageMaker (Docker/Kubernetes). Also has hands-on LLM workflow experience (RAG, semantic search, prompt optimization, hallucination mitigation) with a metrics-driven approach to reliability, drift monitoring, and reproducible retraining via MLflow.”
Intern Full-Stack Software Engineer specializing in web apps and AI systems
“Product/UX designer who builds end-to-end systems across both consumer wellness and industrial/technical domains. Designed BloomPath (mental-wellness platform for therapists and young professionals) using research-driven, emotionally safe interaction patterns, and also simplified a Bosch autonomous parking vision-language mapping pipeline into a developer-facing real-time UI with layered debug tooling. Comfortable collaborating deeply with engineers and contributing in React/JS.”
Mid-level AI Engineer specializing in agentic LLM systems
“Built and productionized a dual-agent LLM invoice-processing system for GFI Partners, adding guardrails and audit trails to earn stakeholder trust and drive adoption while cutting operational burden by 75%. Uses LangSmith observability to diagnose real-time workflow regressions and has experience teaching agentic AI concepts (e.g., at Carnegie Mellon) through hands-on, scaffolded demos.”
Intern Applied AI/Software Engineer specializing in computer vision and full-stack platforms
“Built production LLM systems focused on reliability and safety, including a plain-English deployment tool that generates validated plans and provisions to Kubernetes while preventing unsafe actions via schema enforcement and plan/execute separation. Also created multi-LLM workflows (LangGraph) and stakeholder-friendly demos at Bosch, including a PyQt/FastAPI/CUDA app comparing SAM2 vs SAMWISE for on-device object detection with intuitive UX for business users.”
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Mid-level HPC AI & Software Engineer specializing in computer vision and ML for scientific data
Junior Software Engineer specializing in DevOps and full-stack web development
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-level AI/ML Engineer specializing in fraud detection and customer lifetime value modeling
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Intern Software Engineer specializing in cloud infrastructure and machine learning
Intern Software Engineer specializing in distributed systems and web technologies
Senior Full-Stack Engineer specializing in enterprise microservices across FinTech and Healthcare
Mid-Level Software Engineer specializing in FinTech and distributed data platforms
Senior Software Engineer specializing in distributed backend services and data pipelines
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Machine Learning Engineer specializing in LLM inference and MLOps
Senior Cloud Infrastructure & DevOps Engineer specializing in AWS, Kubernetes, and automation