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Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Design and build generative AI and agentic frameworks for capital markets, embedding AI tools into research, banking, sales, and trading workflows.
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.
Build, deploy, and maintain AI/ML models including LLMs and Agentic AI systems using cloud platforms like Azure and GCP to solve business and scientific problems.
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.
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 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 enterprise web apps using AI coding agents (Claude Code, GitHub Copilot) alongside React/Angular front ends and Java/.NET back ends, deploying on GCP with DevOps practices.
Build and scale web apps using .NET Core, C#, and Angular/React, with a focus on REST APIs, AI-driven RAG pipelines, and modern cloud practices.
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.
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.
Builds backend services for a global e-commerce platform using Java/Kotlin and Spring, integrating AI agents and modern data stores to streamline product search and pricing.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Designs and maintains data pipelines and vector databases to feed AI systems with clean, real-time data for RAG and agent memory.
Builds and integrates Python-based AI services using LLMs, RAG pipelines, and vector databases for enterprise clients.
Builds and integrates Python-based AI services using LLM frameworks (LangChain, LangGraph), RAG pipelines, and vector databases for enterprise clients.
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