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Designs and builds AI-powered full-stack applications for federal clients, integrating LLMs, agentic frameworks, and cloud-native architectures with polished React-based frontends.
Data Scientist role centered on the Databricks ecosystem (Lakehouse, Delta Lake, Unity Catalog, Lakeflow, Lakebase) combined with AI/ML, GenAI, RAG, LLMs, LangChain, LangGraph, Agentic AI, and FastAPI/REST API development.
Assess and document security controls for AI/LLM systems in AWS cloud environments, authoring RMF artifacts and bridging gaps between offensive security and DevSecOps pipelines.
Build and deploy agentic AI systems for rare disease research, designing multi-turn LLM workflows that validate structured outputs and log decisions for review by clinicians and researchers.
Data Scientist/AI Specialist building data-driven solutions using Python and R, training ML models with TensorFlow and Scikit-Learn, and performing statistical analysis for US federal government clients.
Design and build a central GenAI platform and AI agents to empower product teams, focusing on rapid development, validation, and deployment. Lead full-stack systems, developer tooling, and observability for safe, scalable AI solutions, with a flagship medical AI agent for physicians.
The Senior AI/ML Engineer will develop and maintain production-grade AI applications using Python, focusing on LLM integration, RAG pipelines, and asynchronous API development.
The Senior Product Manager will lead the development and scaling of an agentic AI orchestration product for government mission applications. This role involves collaborating with cross-functional teams to define product vision, manage roadmaps, and integrate AI technologies into user-centric workflows.
Build and evolve backend architectures for generative AI and multi-agent systems, handling orchestration, integration, and scalability using Python/Java/C# and frameworks like LangChain.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Develop GenAI-powered backend solutions using Python, LangChain, and LangGraph; build and extend APIs with FastAPI/Flask while collaborating with cross-functional teams in Kuala Lumpur.
Develops and optimizes genAI-powered software solutions using Python, LangChain, and FastAPI, focusing on backend APIs and scalable workflows for a core AI product.
Senior to Principal Applied AI Engineers build and deploy AI models and systems for UK public-sector projects, using Python, TypeScript, and cloud platforms like AWS to prototype, evaluate, and iterate on solutions that address government challenges.
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…
Join our team Location: Plano, TX. Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s,…
Full-stack Generative AI Engineer building AI-assisted and Agentic AI applications using RAG, LLMs, LangChain/LangGraph on the backend and React on the frontend.
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
Builds AI-powered commercial services tools (RAG pipelines, agentic workflows) for life sciences, owning full-stack features from design to deployment using Python, React, AWS, and PostgreSQL.
Builds AI-powered commercial services tools for life sciences, shipping RAG pipelines, agent workflows, and async Python services on AWS while owning full-stack features from design to deployment.
Lead the design and build of AI-powered people systems at Klaviyo, integrating with HR tools like Workday and Greenhouse to automate recruiting, onboarding, and HR workflows.
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