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Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
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.
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.
Senior Full-Stack Engineer building an AI-powered financial crime investigation platform in fintech, using React, Python, FastAPI, LangGraph, and AWS.
Build and ship AI features on the Salesforce platform using Agentforce, Einstein, and Data Cloud, integrating LLMs with enterprise data and deploying autonomous agents in production.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Design and build secure, scalable AWS APIs and microservices that power AI agents and enterprise integrations, using Lambda, API Gateway, and modern data stores.
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Build and optimize GCP-based data pipelines and vector databases to power AI models like LLMs and RAG systems for Doctolib’s AI Medical Companion, supporting healthcare professionals across Europe.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
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