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Position Summary We're looking for an AI/ML Data Specialist to design and deploy AI capabilities - including document ingestion, retrieval-augmented generation (RAG), and secure knowledge-base services - that…
Lead Everlaw’s AI strategy, designing and implementing cutting-edge AI features for legal discovery at trillion-token scale while mentoring engineers and collaborating with cross-functional teams.
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI…
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Build and lead the core AI systems for Juris OS, a legal AI platform using RAG and agent workflows over verified Danish legal sources, with FastAPI backend and Python.
Senior AI Data Scientist designs, builds, and deploys enterprise-scale AI/ML solutions including LLMs, RAG, and predictive models using Python and MLOps practices.
Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia,…
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Design and present AI-driven financial solutions for healthcare systems, guiding integration into complex enterprise environments and advising on secure, scalable AI adoption.
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Builds AI-powered features like prompt frameworks and agent workflows that automate engineering tasks, integrating LLMs into production systems.
Build and deploy agentic AI systems on AWS that automate tax and compliance workflows for fintech and enterprise customers using Strands Agents, Bedrock, and Lambda.
Build and deploy AI-enabled applications and agentic workflows for clients, designing the systems around models, tools, and safeguards to ensure reliability in production.
Test AI agent workflows and LLM-based applications for accuracy, hallucinations, and consistency using Python, RAG pipelines, and tools like Azure OpenAI or AWS Bedrock.
Build and ship production-grade LLM systems, RAG pipelines, and agentic workflows on Databricks, optimizing for latency, cost, and reliability while mentoring peers.
Build and optimize core search and retrieval infrastructure for Pinecone's vector database, enabling scalable, high-quality AI applications with semantic and hybrid search, indexing pipelines, and retrieval orchestration.
Develops AI/ML solutions for warehouse design automation, working with LLMs, RAG pipelines, and integrating models via FastAPI. Core technologies include Python, PyTorch, TensorFlow, Docker, and cloud infrastructure on Yandex Cloud.
Lead a team to design, build, and deploy production-grade ML models and AI solutions in cloud environments, translating business needs into scalable data products.
Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
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