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Machine Learning Engineer, Generative AI
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows; fine-tune models and evaluate performance for Qualcomm’s core AI products.
Executive Director of Applied AI
Lead Novartis’s enterprise-wide deployment of generative AI and agentic systems, architecting secure, scalable solutions and coaching a global team to transform patient-focused workflows.
Python AI Developer – Machine Learning, Cloud & Agile Delivery
Build and lead Python-based AI solutions, cloud deployments, and Agile delivery for enterprise clients, guiding cross-functional teams and translating business needs into scalable, secure ML systems.
Python & Generative AI Developer – LLMs, Cloud & Machine Learning
Build and lead Python-based generative AI solutions using LLMs, cloud platforms, and ML pipelines while guiding cross-functional teams and translating business needs into scalable AI systems.
AI Engineer
Build production-grade agentic AI systems and MCP integrations for government and commercial clients, focusing on RAG pipelines, tool use, and responsible AI deployment.
Senior Analytics Engineer
Build AI-powered analytics tools that let business users query data conversationally using LLMs, RAG, and agentic frameworks like LangGraph.
Staff ML Engineer (ML/AI)
Lead the architecture of Lyra’s AI/ML platform, designing scalable generative-AI systems, RAG pipelines, and guardrails for mental-health care delivery.
Sr. ML Engineer (MLOps)
Build and deploy MLOps tooling and services for Lyra’s AI-powered mental-health platform, including training/inference pipelines, APIs, and evaluation frameworks in Python and Kubernetes.
AI Engineer
Build and deploy AI-powered tools like custom GPTs and copilots using enterprise LLM platforms and RAG pipelines to automate workflows in healthcare technology.
Software Engineer, Full Stack AI Applications
Build full-stack AI applications for nuclear energy, focusing on document analysis and verification using RAG, Python, TypeScript/React, and AWS services.
Senior Software Engineer - AI
Build and lead large-scale AI systems for federal programs, designing Python-based LLM solutions, RAG pipelines, and cloud-native architectures while ensuring compliance and security in regulated environments.
Senior Data Scientist
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
Nuclear Data Scientist
Research Data Scientists apply advanced AI, machine learning, and data analytics to scientific datasets across nuclear energy, national security, and critical infrastructure programs, turning complex data into insights that advance Idaho National Laboratory's research and DOE's mission.
Machine Learning Engineer (GoLang)
Build and scale backend services in Go that power ML pipelines for video, image, and document processing, and enable LLM-driven agents and MCP servers on AWS/Kubernetes.
Senior Software Engineer 3 - (AWS, Kubernetes, Platform)
Build and maintain AWS and Kubernetes infrastructure that powers the organization's AI capabilities, ensuring reliability, security, and scalability for AI services.
Senior Software Engineer
Build full-stack AI platforms integrating LLM workflows, RAG, and multi-agent systems using React, TypeScript, Python, and cloud-native tools.
Lead Software Engineer, Enterprise Asset Management AI & Agentic Systems
Lead the design and delivery of AI-powered enterprise asset management software using LLMs, agentic systems, and cloud-native tech to solve real-world business challenges at scale.
Senior Backend Engineer
Build and maintain backend systems for a SaaS security platform that detects OAuth token risks and protects enterprise SaaS apps like Microsoft 365 and Salesforce using Python, Go, and cloud-native tools.
Senior Engineer, Platform Engineering and Architecture
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Senior Software Developer, ML Ops
Build and maintain the ML platform that trains, deploys, and monitors AI/ML models across Wealthsimple’s products using Kubernetes, Ray, FastAPI, and MLflow.