Design, build, and operationalize enterprise AI solutions, focusing on Agentic AI and GenAI workloads on Azure. Responsibilities include developing RAG pipelines, implementing MLOps, and leading technical workshops for clients.
Remote AI Engineer Jobs (2,146)
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Design, build, and operationalize enterprise AI solutions, focusing on Agentic AI and GenAI workloads on Azure. Responsibilities include developing RAG pipelines, implementing MLOps, and leading technical workshops for clients.
Build a unified, permission-aware retrieval layer across various enterprise SaaS systems to power AI agents. Design hybrid retrieval pipelines combining lexical, vector, and structured search with a focus on freshness and low latency.
Develop mission-critical features for the Workato platform, focusing on AI chatbot dispatching and synchronous/asynchronous AI execution. Build high-performance gateways, routing components, and server-side infrastructure for logging and monitoring.
Architect and build AI infrastructure and agentic workflows to transform software development and operational processes. This includes creating a centralized context layer and automating the full development lifecycle from code generation to incident triage.
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Develop and maintain backend services and AI-native platforms using Python, Node.js, and AWS serverless architectures. Collaborate with cross-functional teams to build scalable, integration-heavy platforms and improve system reliability.
QuintoAndar | Senior Software Engineer - AI Platform 152 APPLICANTS
Grupo QuintoAndar
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Full Time
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2 Weeks Ago
Grupo QuintoAndar
Build abstractions and guardrails for low-code and no-code platforms to enable non-technical users to create automations securely. Ensure that AI-driven innovation is sustainable, scalable, and follows strict platform governance guidelines.
The role involves conceptualizing and building scalable data solutions and pipelines to unify multi-source healthcare datasets. You will develop data engineering systems that support AI use cases and collaborate cross-functionally to power internal and external products.
Design and build production-grade AI Assistants and workflow automations integrated with enterprise tools like Jira and Slack. Develop prompt engineering frameworks, evaluation pipelines, and backend APIs to ensure reliable and secure AI operations.
Design and build a core AI platform including agent runtimes, RAG pipelines, and model routing layers. Ship end-to-end AI product features for brokers and underwriters while mentoring engineers on production AI systems.
Own and evolve the AI systems for ClickUp's voice platform, focusing on real-time streaming transcription and voice-to-action pipelines. Design and optimize speech-to-text pipelines and integrate LLM-powered post-processing for improved accuracy and formatting.
Define and lead the technical strategy for multimodal and agentic AI capabilities within the Autodesk Construction Cloud. Drive the architecture and delivery of intelligent systems that reason over complex construction data to create scalable product features.
Design and build AI-driven agentic pipelines to automate the vulnerability research lifecycle, including patch diffing and PoC generation. Own the end-to-end architecture, development, and operation of backend systems and data pipelines.
REMOTE (INDIA): AI Engineer- SaaS Platform
Marrina Decisions
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Full Time
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2 Weeks Ago
Marrina Decisions
Maintain and optimize AI-driven LLM/VLM pipelines and Flask/FastAPI microservices for the Sootra platform. Design prompt engineering strategies and build feedback loops to improve AI model performance and production stability.
Build and own full-stack AI features, including multi-step pipelines, financial document ingestion, and output evaluation frameworks. Develop backend infrastructure and API layers to transform crypto activity into auditable financial records.
Lead the design and evolution of agentic AI systems to coordinate care and automate workflows within a healthcare infrastructure. Translate complex real-world care processes into reliable, production-grade AI systems while mentoring other engineers.
Lead the internal AI transformation by building and shipping production-ready agents to automate workflows for Go-to-Market and Customer Experience teams. Define the internal agent platform's orchestration patterns, skills library, and evaluation discipline to scale AI capabilities across the organization.
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Design and build the core intelligence layer for AI workflow software focused on compliance-heavy manufacturing. This includes developing systems for document extraction, retrieval, and agentic task execution to automate manual operational burdens.
Research and deploy AI-powered testing tools and LLM-integrated platforms to enhance test coverage and automate bug triaging. Lead the transition of the QA team from manual execution to AI supervision through mentorship and prompt engineering education.
Train large language models by ranking, repairing, and refactoring AI-generated code across various languages. Provide detailed justifications and feedback to improve the RLHF pipeline and model output quality.
Train large language models to write production-grade code by ranking, repairing, and refactoring AI-generated snippets. Provide detailed feedback and justifications to improve the RLHF pipeline and model performance.
Train large language models to write production-grade code by ranking, repairing, and refactoring AI-generated snippets. Provide detailed justifications and feedback to improve the RLHF pipeline and model performance.
Train large language models to write production-grade code by ranking, repairing, and refactoring AI-generated snippets. Provide detailed feedback and justifications to improve the RLHF pipeline and model performance.
Train large language models by ranking, repairing, and refactoring AI-generated code to ensure production-grade quality. Provide detailed justifications and feedback to improve the RLHF pipeline and model performance.
AI Engineer | Python | AI Agents | Chatbots | Machine Learning | Full Stack | Remote
E Edge Technology PVT. LTD.
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Full Time
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2 Weeks Ago
E Edge Technology PVT. LTD.
Develop and deploy machine learning models and build backend systems using Python. Integrate AI solutions with full-stack applications and develop REST APIs.
Develop and optimize a large neural network-based tabular model, focusing on performance bottlenecks and memory efficiency. Rewrite critical Python components in Rust or C++ to improve latency and throughput across ML pipelines.
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Embed within product teams to co-develop and refine AI-driven engineering workflows and agentic ways of working. Collaborate with internal innovation teams to integrate AI into real development tasks and establish reusable patterns for AI-supported development.
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building multi-modal LLMs, implementing RAG architectures, and managing end-to-end AI solution deployment in cloud and on-premises environments.
Lead a cross-functional team to design and deliver scalable, production-ready Generative AI solutions. Establish engineering best practices and provide architectural guidance to align technical roadmaps with business goals.
Architect the core ML infrastructure and establish engineering standards for intelligent systems that extract data from unstructured medical documents. Lead the design and deployment of production-scale generative AI solutions and mentor AI engineers across distributed teams.
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