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Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Build a two-sided client portal using React, Supabase, and AI tools; integrate Google Workspace and automate notifications for a fintech-like workflow.
Build and maintain a cross-platform mobile app in Flutter, a web front-end in .NET/Angular, and integrate AI-powered tax assistant features using LLM APIs.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Design and deploy AI-powered compliance workflows (alert pre-screening, case narratives, regulatory summaries) using Python, n8n, and Claude API to automate risk analysis and reporting across Kraken’s crypto and financial products.
Build and maintain custom software and AI agents for the CEO, integrating LLMs and automation into executive workflows and decision-support systems.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Build and own a full-stack AI platform for autonomous building intelligence, integrating LLMs and streaming APIs with enterprise-grade security and multi-tenancy on AWS.
Build AI-powered apps using Anthropic’s Claude API, integrating LLM workflows, prompt design, and tool use into scalable full-stack systems with React, Next.js, Node.js/Python, and vector databases.
Build full-stack web apps with React/Next.js and Node.js/PHP, integrating Anthropic’s Claude API to create AI-powered features like agents, RAG, and streaming responses.
Job Summary We are seeking an experienced AI Automation Engineering Manager to lead our AI and automation initiatives across the organization. This role is responsible for managing a team of AI Automation Engineers,…
Build full-stack web apps for healthcare workflows and integrate AI models (LLMs, RAG, agents) to automate audits, billing, and clinical decision support.
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