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Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Senior Sales Engineer driving technical pre-sales for Veeam’s Securiti AI portfolio, designing demos and POCs to showcase data/AI security solutions across cloud platforms and compliance frameworks.
Build and maintain AI-powered data pipelines, GenAI features, and full-stack apps for an Italian enterprise client using Python, cloud services, and modern JS frameworks.
Builds backend infrastructure and APIs to connect Lyft with AI ecosystems and multimodal interfaces, enabling third-party agents to interact with Lyft services.
Consultant builds and deploys AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Build and refine AI-powered systems, MCP server integrations, and backend architectures for B2B clients, focusing on production-grade AI pipelines and scalable cloud solutions.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build AI-enhanced full-stack applications using Python and Ruby on Rails, integrating ML models and vector databases into scalable SaaS platforms.
Build and maintain AI-powered full-stack apps using LLMs, RAG, and vector databases, with React frontends, Python/Node.js backends, and cloud-native DevOps.
Build and lead the AI orchestration backend for CoCounsel Audit, turning frontier LLMs into reliable, production-grade workflows for accountants handling tax, audit, and advisory tasks at scale.
Build and maintain the AI platform infrastructure, including Kubernetes, vector databases, and real-time monitoring, using Java, Azure, and AI tools like GitHub Copilot.
Build and maintain petabyte-scale ML infrastructure for robotics autonomy, including data pipelines, search, annotation integrations, and vector databases to power large-scale delivery fleets.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Build and maintain automated test frameworks for AI/ML services, mentor developers on testing practices, and ensure robust quality coverage for scalable cloud platforms.
Build and maintain automated testing frameworks for AI/ML services, focusing on performance, vector databases, and LLM testing in a product company.
Builds and leads backend services for Solace’s Agent Mesh, an event-driven AI orchestration platform using Python, Java Spring Boot, and real-time streaming tech.
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