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Builds and owns full-stack features (frontend, backend, APIs) for a hybrid SaaS/AI platform, integrating AI/ML capabilities into product features while contributing to cloud infrastructure and architecture decisions.
As a Software Engineer, AI/ML , you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable,…
A generalist data scientist applies ML to solve data problems (e.g., quality, classification, embeddings) and builds tools for analysts. Works independently on projects, embedded with product/data teams, and partners with engineers, analysts, and PMs.
Senior Software Engineer at Microsoft builds AI-powered security and engineering platforms for Surface devices, using cloud-native tools and responsible AI practices.
The AI Analyst builds and maintains end-to-end AI systems, including RAG pipelines, agent workflows, and data integrations, to automate business processes using Python, SQL, and LLM technologies.
Designs and implements a Databricks-based data and AI platform, enabling LLM-powered analytics, RAG, and agentic AI workflows for governed data products and semantic layers.
Builds and maintains an AI/context platform for healthcare, focusing on unstructured data pipelines, embeddings, retrieval, and semantic layers to accelerate AI-driven product innovation.
Build the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
Builds and scales an AI agent platform to integrate AI into the software development lifecycle, focusing on tooling, observability, and reliability for internal and product-facing AI features.
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our…
The Data Scientist manages and analyzes complex, often unstructured datasets for government and enterprise clients, ensuring data accuracy, accessibility, and usability. Core tasks include administering data tools, monitoring pipelines, developing analytical products, and collaborating with AI/ML and engineering teams to support mission-critical decision-making.
Embed with enterprise customers to deploy, customize, and troubleshoot a developer-focused platform, using AI tools to accelerate delivery and advise CIOs on technical fit.
Build AI models that parse security logs and detect threats using LLMs, embeddings, and retrieval, then ship them as production services in a breach-emulation platform.
Overview The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a Principal Applied Science Manager who wants to build the next generation of recommendations using advanced…
Company Description Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience. Farther’s founders are leaders and…
AI Software Engineer developing core AI services in cybersecurity domain, working with Python and Golang to build high-performance applications, refining AI models, and integrating AI into products.
Design and implement secure, governed AI search and summarization solutions for VA healthcare using LLMs, RAG, and AWS services while ensuring compliance with Federal AI and cybersecurity standards.
VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will…
Builds and maintains Python-based applications for clients, focusing on REST APIs, microservices, and AI/ML integrations while collaborating with teams to deliver scalable solutions.
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