Pre-screened and vetted.
Director-level Revenue Operations & Channel Operations leader specializing in SaaS growth
Senior Machine Learning Engineer specializing in LLMs, agentic AI, and MLOps
Mid-level Data Engineer specializing in cloud ETL and real-time analytics
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Junior Supply Chain & Operations Analyst specializing in aerospace manufacturing analytics
Mid-level Full-Stack Developer specializing in FinTech payments and microservices
Senior Finance & Venture Investing Professional specializing in FinTech and early-stage startups
Senior Full-Stack Engineer specializing in web platforms, FinTech, and game development
Executive engineering leader specializing in Healthcare IT and SaaS
Principal Data Scientist specializing in Generative AI, LLMs, and ML platforms
Junior Full-Stack/AI Engineer specializing in mobile apps, data pipelines, and agentic systems
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Intern Software Engineer specializing in systems programming and game development
Junior Software Development Engineer specializing in AWS backend and distributed systems
Staff Salesforce Engineer specializing in enterprise CRM and integrations
Executive Operations & Program Management Leader specializing in global transformation
“Operations/PMO leader across IPG Mediabrands, Kinesso, and IPG Corporate with deep experience building executive governance systems and cross-functional operating rhythms. Led high-visibility transformations including a $36M global rebrand and created data-backed dashboards/cadences that improved efficiency (10–20%) and executive alignment, including oversight of a 175M monthly media spend analysis.”
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”
Senior Forward Deployed Systems Engineering Leader specializing in AI-native deployments
“Built and productionized an LLM-enabled system visualization web app at Longshot, designed modularly to pivot quickly to a mobile-friendly interface as customer needs changed. Experienced in diagnosing LLM/agentic workflow failures using observability, deterministic replay, and fault-tree root cause analysis. Also delivers developer-focused demos and trainings (including robotics deployment/mapping at Meta) and partners with sales as a technical closer, including for government clients by demonstrating failure modes and system modularity.”