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Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Build enterprise-grade web apps using Angular for the front end and .NET Core for back-end APIs and SQL databases, optimizing performance and collaborating with cross-functional teams.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Builds and optimizes AI models (NLP, ML, neural networks) in C# and Python, trains them on large datasets, and integrates cloud AI services for products like chatbots and search engines.
A senior engineer embedded with enterprise clients to advise on AI governance, scope AI projects, and build production-ready solutions using LLMs and agentic workflows.
Senior Software Engineer at Compass in NYC builds AI-driven automation pipelines and integrations for real estate operations, using LLMs, RAG, and cloud-native tools to streamline workflows across departments.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for high-value public-sector clients, bridging Google’s AI products with customer infrastructure while feeding real-world insights back into product development.
Design and deploy production-ready AI systems, including LLM apps, RAG pipelines, and voice AI, for clients across healthcare, ecommerce, travel, and other sectors.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Build and optimize multi-agent LLM systems, RAG pipelines, and large-scale NLP models to transform enterprise processes with rapid prototyping and production deployment.
Job Openings Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the job Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the Company One of our…
Design and own a cloud-scale data platform on Microsoft Fabric, building ETL pipelines, semantic layers, and AI-ready datasets for enterprise knowledge and retrieval.
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Architect and build an AI-native finance operations platform from scratch, leading full-stack engineering, cloud infrastructure, and agentic workflows for invoice processing and reconciliation.
Lead a team building AI integrations for a logistics platform using .NET/C#, focusing on agentic workflows, RAG pipelines, and vector databases to enhance platform functionality.
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD systems.
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD tooling.
Build and deploy AI-powered applications for financial clients using large language models, retrieval-augmented generation, and cloud platforms like Google Cloud.
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