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Build and scale ML systems for search, recommendations, and LLM-powered assistants that help teachers plan lessons and personalize learning in K–12 education.
Build production-grade ML systems that detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Engineering Manager: Personalization Department: Engineering Location: Remote - EMEA, Remote Employment Type: FullTime About Us Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that…
Define and govern enterprise AI architecture for a large U.S. utility, translating business needs into secure, scalable AI systems across grid operations and corporate functions.
Build and maintain enterprise-scale agentic AI platforms, integrations, and workflows using Python/Java/Go, LangChain, and GCP/Vertex AI.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
Support and architect AI platforms for DDN’s Hyperpod, diagnosing issues across NVIDIA AI Enterprise, vector databases, GPUs, Kubernetes, and high-performance storage/networking.
The Role We're hiring a Senior Software Engineer to build out Trustible's agentic AI capabilities. This is a backend-heavy engineering role. You'll spend your time writing MCP tool integrations, building…
Builds and maintains data infrastructure for Amazon’s FBA analytics, focusing on dbt models, metadata enrichment, and AI-driven insights to ensure accurate, trustworthy outputs for leadership.
Build production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, from architecture to deployment.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Designs secure, scalable GenAI architectures for insurance, healthcare, and banking clients using the Claude API and agentic workflows, ensuring responsible-AI compliance and guiding delivery teams.
Build and deploy Claude-powered demos and production solutions using Python, LangChain, RAG, and AWS, while maintaining EXL’s demo library and agentic workflows.
Designs enterprise GenAI solutions using GPT-4o, Azure OpenAI, and Codex, including RAG and agentic patterns, while leading EXL–OpenAI go-to-market efforts in India.
Build production-grade GenAI systems using Azure OpenAI APIs, Assistants API, and Codex to prototype voice workflows and demo libraries for claims automation, compliance, and developer productivity.
Build and scale AI-powered data pipelines that turn messy environmental data into clean, business-ready outputs using LLMs, vector search, and Python.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, embedding responsible AI into regulated workflows while ensuring compliance with governance and control standards.
Build secure, full-stack banking software in Java/Spring Boot with React frontends, using microservices, Kafka, and CI/CD while leveraging enterprise AI tools.
Build and own secure, scalable Java microservices for global banking using Kafka, CI/CD, and AI-assisted tools while driving operational excellence and mentoring peers.
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