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Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
Build cloud-native search and LLM-powered workflows using React, Node.js, and Elasticsearch; integrate RAG and semantic search in a secure, mission-driven environment.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
Design and build the data infrastructure for a next-gen AI platform, focusing on vector search, knowledge graphs, and semantic retrieval at global scale.
Owns the product strategy and roadmap for DDN’s AI Data Platform, aligning storage solutions with NVIDIA’s AI infrastructure stack to enable enterprise generative AI at scale.
Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine…
Senior AI consultant designs and iterates LLM prompts, prototypes AI copilots, and builds RAG-based solutions using Python, LangChain, and vector databases for enterprise use cases.
Leads AI initiatives, designs and iterates prompts for enterprise copilots and low-code tools, and prototypes generative AI solutions using Python, LangChain, and vector databases.
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.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead DevOps/SRE role maintaining AWS-based media pipelines, containerized environments, and AI-powered workflows using Terraform, Kubernetes, and CI/CD.
Build and operate AI platform capabilities for a legal-tech product, focusing on retrieval, vector search, model orchestration, and agentic workflows to power features like predictive coding and multi-modal understanding.
Build and scale AI-powered personalized learning tools using TypeScript/Vue 3 and LLM pipelines on a TypeScript/tRPC backend, with optional full-stack contributions.
Build backend services in .NET/C# that power semantic search, contextual linking, and visualization of engineering documents for an AI-driven SaaS platform used by global infrastructure teams.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
Lead the fine-tuning and deployment of LLMs to power NPR’s audience personalization and metadata systems, ensuring ethical AI, factual accuracy, and scalable cloud pipelines.
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