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Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Builds scalable backend systems and integrates AI-powered features for an edtech platform that supports students' writing workflows, including plagiarism and AI-content detection.
Build AI-native features and scalable systems at Intuit, collaborating across teams to design and ship customer-focused solutions using modern full-stack and cloud tools.
Builds and deploys Java-based backend services using Spring Boot, REST APIs, and microservices, with AI integration and cloud deployment on Azure/AWS/GCP.
Principal AI Data Engineer builds and deploys GenAI, RAG and Agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Design and automate hybrid cloud infrastructure for a healthcare AI platform, integrating Azure, Microsoft 365, and AI agents via MCP to reduce manual IT work and improve reliability.
Design and deploy production-grade Databricks platforms for enterprise clients, leading end-to-end cloud data engineering projects on AWS/Azure.
Build and own AI agent infrastructure and automation systems that connect LLMs to internal tools and data, enabling self-service workflows for marketing and sales teams using Python, JavaScript, and GCP serverless services.
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Lead the design and deployment of AI agents on Snowflake Cortex, building scalable data pipelines and semantic layers to power intelligent experiences for Material Bank’s global material marketplace.
Backend developer maintaining Python microservices, async workflows (Kafka/Celery), and integrating AI tools (Claude, Copilot) into development and testing.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Build and scale production-grade AI agent systems, retrieval pipelines, and evaluation frameworks using Python, FastAPI, and vector databases.
Build AI-driven features for SYNCHRO, a 4D construction planning suite, using LangChain, LLMs, and full-stack TypeScript/React in a hybrid role.
Senior AI Engineer builds production-grade AI agent systems, designs agentic workflows, and deploys Python-based services using FastAPI, vector search, and Kubernetes.
Build and own Taxfix’s marketing measurement stack—running geo tests, MMM, and CLV models to decide how the company allocates budget and scales growth.
Build full-stack apps with Python, React, and Node.js, integrating AI/ML solutions and deploying on AWS/OpenShift for enterprise clients.
Design and deploy secure enterprise AI solutions using Azure AI services, building RAG systems, AI agents, and vector search pipelines for a large Federal Government environment.
Build and deploy AI agents that automate silicon IP design workflows using RAG, structured tool execution, and EDA tool integration to accelerate spec-to-netlist cycles.
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
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