Pre-screened and vetted.
Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AdTech analytics
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Mid-level Software Engineer specializing in backend and cloud microservices
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Senior Full-Stack Engineer specializing in cloud-native and AI-powered enterprise products
Mid-level AI/ML Engineer specializing in LLM infrastructure and FinTech ML platforms
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Software Engineer specializing in telehealth and e-commerce platforms
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Senior AI/ML Engineer specializing in LLM agents, RAG, and production ML systems
Senior Software Engineer specializing in cloud security and identity management
Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG
“Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.”
Engineering Manager specializing in databases and distributed systems
“Aspiring founder exploring an AI automation startup focused on automating processes involved in building companies. Not yet developed specific use cases or raised capital, but describes a clear plan to validate ideas through use-case research, building a pilot, and testing with early customers; not familiar with the VC/accelerator landscape yet.”
Senior Machine Learning Engineer specializing in production ML and predictive analytics
“ML/AI engineering leader who has owned end-to-end production systems from experimentation through deployment, monitoring, and iteration at meaningful scale. They describe running a 1M+ records/day prediction platform with 99.9% availability, shipping a RAG-based conversational AI feature for 50,000 active users, and consistently improving precision, latency, reliability, and cost with measurable business impact.”