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Builds and optimizes RAG pipelines for document processing and LLM-powered question answering using vector embeddings and retrieval systems.
Designs and builds enterprise-grade AI solutions using AWS Bedrock, integrating systems like ServiceNow and SAP with RAG pipelines and React frontends.
The Machine Learning Engineer will develop large-scale machine learning models and natural language processing systems to improve query understanding and ranking for Siri Search. The role involves building infrastructure to process web-scale data and deploying evaluation metrics to enhance search features across Apple products.
The AI Engineer will integrate artificial intelligence natively into the Software Development Life Cycle (SDLC) by building multi-step agents and end-to-end AI solutions. The role focuses on leveraging technologies like RAG, prompt engineering, and model control protocols to drive business impact.
The AI Engineer will build a Java-based engine using Spring to implement RAG-based documentation systems and multi-step AI agents. The role involves integrating AI solutions into end-to-end projects and managing AI model specifications.
Senior Software Engineer building AI-powered internal tools (code assistants, search, chat) to boost developer productivity at Instacart, using Python/Go/Java, LLMs, and cloud infrastructure.
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Senior Software Engineer at Okta builds AI-powered customer identity solutions integrating Salesforce, AWS, and generative AI tools like Amazon Bedrock and LangChain.
Build AI-assisted automation and developer tools to streamline enterprise workflows across Salesforce, NetSuite, CI/CD, and Okta, reducing manual work and accelerating software delivery.
Builds and maintains Okta’s cloud-native Continuous Delivery platform (Spinnaker, Terraform) and IaC automation in Java/Python/Go, enabling secure, scalable infrastructure deployments across AWS ECS/EKS.
Staff ML Engineer on Okta's GenAI team, architecting and deploying production ML/GenAI systems including LLM-powered features, RAG workflows, and agentic applications using Python, Claude-based systems, and cloud AI platforms.
Design, implement, and optimize AI/ML models and tools, collaborating with data scientists and engineers to integrate AI into applications using Python, ML frameworks, RAG, Agentic AI, and cloud platforms.
Intern AI Engineer builds and deploys LLM-based agents and RAG pipelines to automate document search and chatbot workflows for a large bank’s public-sector clients.
Senior AI/LLM consultant framing and industrializing generative AI and ML solutions for ITSM/incident management processes, using LLMs, prompt engineering, Python, and API integration in a ServiceNow environment.
Builds and deploys AI-driven mental health support systems, focusing on LLM safety, guardrails, and ethical design for a global crisis support platform.
This role involves working as a forward-deployed engineer to build and deploy production-grade generative AI and agentic solutions for Google Cloud partners. You will bridge the gap between prototypes and enterprise-scale applications using Google's AI portfolio, including Gemini and Vertex AI.
Senior Data & AI Engineer owns the data and AI platform for trading and sportsbook products, building real-time/batch pipelines, developing ML/AI features and RAG/LLM capabilities, and shipping backend services (Go/Python/Java).
Senior Fullstack Developer building a generative AI platform for orchestrating agents, flows, and models using Node.js, Python, LangChain, CrewAI, React, and vector databases in a fully remote role.
The Senior AI Engineer will develop and scale productive AI applications, including LLM-based systems, RAG pipelines, and AI agents, to automate core business processes at a real estate investment firm. The role involves working directly with management to identify automation opportunities and implementing robust backend services using Python and Azure.
The Lead AI Engineer will design and deploy enterprise-grade Agentic AI solutions, including LLMs and RAG pipelines, while managing client relationships and project delivery. This role combines hands-on technical development with leadership responsibilities in a fast-growing AI startup.
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