Founding Engineer at Health Harbor, a YC-backed healthcare company automating insurance billing calls for doctors using LLMs. The role involves building production backend systems around large language models, scalable cloud infrastructure for concurrent phone calls, and FHIR API integrations, while helping shape early engineering culture.
Builds and ships Ruby on Rails features and broker-trade imports for Tradervue, a trading journal, while developing AI features with evals. Works remotely from Canada with daily overlap to Brasília time, owning code end to end on a small AI-first team.
Administers and secures Microsoft 365 and Azure environments, manages Windows clients and servers, automates IT processes with PowerShell and Infrastructure as Code, and provides 2nd/3rd-level support. Core technologies include Intune, Defender, Entra ID, and DevOps tooling.
Middle/Senior Data & Integration Engineer building ETL pipelines to ingest, reconcile, and structure messy telecom billing data (CSV/spreadsheets, rate sheets, CDRs) into SQL databases (MariaDB/MySQL) for an on-premise LLM ecosystem, with occasional travel to Croatia.
Lead backend technology strategy for JSTOR's Books and Royalty Payments platform, defining architecture for distributed systems, APIs, and data pipelines using Java, Spring Boot, MySQL, Redis, and Kubernetes, while mentoring engineers and driving platform reliability.
The Systems Engineer – Platform Deployment Operations plans and deploys SPHEREboard infrastructure into new regions and secure zones for enterprise clients. Day to day, they provision VMs with Terraform, configure Windows/Linux, SQL Server, networking, SSL/TLS, and storage connectors, and partner with client teams to keep the platform healthy.
Designs, implements, and maintains server systems and infrastructure, troubleshoots outages, and leads cloud engineering and migration efforts while collaborating with network engineers, vendors, and data center teams. Requires 5+ years of systems experience and U.S. citizenship.
Designs, builds, and supports enterprise integrations connecting Oracle Cloud Applications, on-premises Oracle systems, and third-party platforms using Oracle Integration Cloud, VBCS, REST/SOAP APIs, and API management tools.
Lead ServiceTitan's mobile engineering organization through engineering managers, owning the performance, reliability, and release quality of the native iOS (Swift/SwiftUI) and Android (Kotlin/Jetpack Compose) field-technician app while driving its modernization roadmap and predictable release cadence.
On a 6-month contract for a provincial government client, the senior developer modernizes legacy Adxstudio portals to Microsoft Power Pages. Daily work includes technical discovery, Dataverse data migration, rebuilding entity forms and Liquid templates with JavaScript/CSS, and using Microsoft Copilot to accelerate code conversion, plus integrations, security mapping, UAT, and documentation.
Designs, builds, and operates reliable ML inference platforms for serving large models in production, handling request routing, batching, caching, autoscaling, GPU utilization, and observability. Core technologies include Python, Go/Rust/C++, Kubernetes, and inference frameworks such as vLLM or TensorRT-LLM.
Member of Technical Staff for Model Training infrastructure and platform at Xperteez Technology. The role involves architecting and scaling distributed systems for supervised fine-tuning, reinforcement learning, and distillation across GPU clusters, owning inference optimization, experiment tracking, and platform architecture for AI research teams, using Python and systems languages such as C++, R
The engineer trains, fine-tunes, and deploys specialized language, vision-language, and robotics models for micro1's applications, owning the full model development lifecycle from dataset design to production inference optimization using Python and PyTorch.
Builds and scales distributed GPU infrastructure for large-scale model training (SFT, RL, distillation) and agent execution platforms, optimizing PyTorch/DeepSpeed/Ray pipelines, inference engines (vLLM, TensorRT-LLM), and Kubernetes-orchestrated clusters. Owns architecture from distributed training to experiment tracking and fault recovery.
Researches and scales advanced post-training methods (SFT, RL, distillation) for large language and multimodal models, designing experiments to improve reasoning, generalization, and agent capabilities using Python and PyTorch.
Engineering Manager leading a distributed team of 7 engineers in a remote-first, US-based role. Focus on people management, performance reviews, staffing planning, recruitment, and retention across internal projects and client engagements; requires 7+ years software/DevOps experience and 3+ years engineering management.
The IT Systems Developer assigns work, sets schedules, and reviews deliverables while developing React.js/Node.js/Express.js applications on Azure with Microsoft SQL Server, Okta, and Azure DevOps in an Agile environment.
Designs, develops, and deploys full life-cycle Python software on Linux and Windows, including REST APIs, ML model training/testing, and large dataset analysis, using frameworks like Flask/Django and tools such as SQL, pytest, and Bitbucket.
Software Engineering Manager at Feedonomics (BigCommerce) leading a remote team building AI-driven commerce platform; drives technical roadmap, mentors engineers, and ensures system performance/scalability using PHP, Go, Python, TypeScript, and Google Cloud.
Senior Software Engineer building high-performance AI inference infrastructure in Rust and Python, designing APIs and operating Kubernetes-based serverless platforms for running AI models.
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