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Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Lead the AI and data strategy for a compliance SaaS platform, building production-grade generative AI, LLM systems, and MLOps pipelines in a regulated financial-tech environment.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA . In this role, you will collaborate within a…
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
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.
Senior AI Engineer Remote — US only · Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's…
Own the architecture of an AI-native banking platform, reviewing AI-generated code, defining system boundaries, and guiding Python/FastAPI backend and React/TypeScript integration patterns.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Lead the build and scaling of a multi-tenant agentic AI platform, coding production-grade components in Python/Angular and guiding the team’s technical strategy while enforcing clean architectural patterns.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and lead Gen AI products using Python, React, and AWS, designing LLM pipelines, Agentic AI, and RAG systems while collaborating with cross-functional teams.
Build and deploy enterprise-grade AI agents and multi-agent systems using Python, LangChain/LangGraph, and RAG architectures for scalable copilots and automation.
Build Python-based generative AI and agentic systems for a large bank, including FastAPI services, retrieval-augmented generation, and multi-agent orchestration.
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