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The Senior ML Engineer will build and deploy explainable AI models and agentic systems to power 6sense's GTM intelligence products. This role involves end-to-end ownership of machine learning pipelines, from data exploration to production deployment, using technologies like Python, NLP, and GenAI tools.
The Forward Deployed Engineer will manage technical customer engagements for audio datasets, building scalable data pipelines and tools to support AI training. This role requires balancing direct customer communication with hands-on engineering to transform raw audio into high-quality, production-ready datasets.
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
The Lead Data Engineer will design and implement scalable data platforms and AI-ready pipelines using the Azure ecosystem, including Microsoft Fabric and Power BI. This role involves leading analytics projects, mentoring team members, and ensuring data governance and security for enterprise clients.
Builds and maintains AI-ready data pipelines in Snowflake, bridging raw data ingestion to AI feature outputs. Collaborates with data science and product teams to ensure data systems enable AI capabilities across the organization.
3Pillar Global is seeking a Senior Full Stack Engineer to build and integrate AI-driven software products for clients. The role involves full-stack development using Python, NextJS, and various AI frameworks like Langchain and Pytorch to deliver scalable enterprise solutions.
Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
Build and maintain high-throughput log pipelines, normalize raw logs into standard schemas, and optimize data routing for security analytics and AI/ML detection models.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Designs and builds AI systems end-to-end, integrating LLMs, RAG pipelines, and AI agents while optimizing performance and cost using modern AI coding tools.
Build AI-native features from scratch using React, Node.js, and TypeScript, integrating LLMs and scaling systems for monday.com’s AI platform.
A senior engineer designs and owns scalable systems for real-time market-intelligence content ingestion, processing, and access control using Python, cloud infrastructure, and AI tools, while shaping technical direction and mentoring teams.
The Senior AI/ML Engineer will build and scale production-grade Generative AI solutions, including LLMs, RAG, and AI agents, for construction software products. The role requires strong software engineering skills, proficiency in Python, and experience with Azure or AWS cloud platforms.
The Senior AI Engineer will build and deploy agentic AI systems and generative workflows to power Jazz's security platform. The role involves working with LLMs, RAG pipelines, and vector search to create production-scale intelligence for data loss prevention.
Hypertype is seeking a Founding Engineer to build and scale AI infrastructure and industrial applications using Python, FastAPI, React, and Next.js. The role involves full-stack development, managing RAG and agentic AI workflows, and overseeing cloud infrastructure transitions between GCP and Azure.
Senior software engineer building secure, cloud-native full-stack applications in Java and Python on AWS, integrating AI agents and generative AI workflows for DigiCert’s PKI and trust platform.
The Senior Data Engineer will design and build enterprise-grade data platforms and pipelines for federal clients using cloud technologies like AWS. The role involves architecting data migrations, optimizing ETL workflows, and collaborating in an Agile environment to support data exploitation initiatives.
Designs and implements AI/ML solutions for healthcare operations, focusing on clinical, operational, and administrative workflows using advanced ML techniques like prompt engineering and RAG. Collaborates with cross-functional teams to ensure scalable, secure, and compliant AI systems while mentoring junior engineers.
Build and productionize ML and GenAI solutions for Manulife's actuarial, finance, and treasury functions, translating business problems into predictive models, retrieval-based GenAI systems, and agentic workflows using Python, SQL, Spark/Databricks, and modern ML frameworks.
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