Model Agent Jobs (NOW HIRING)

You'll build and train large-scale multimodal agentic models - systems that reason, plan, code, and call tools to do complex, multi-step work over pixels. This is core research shaping how users ...

Stand up comprehensive observability and monitoring infrastructure - model/agent performance, drift, data quality, latency, cost, and reliability - with alerting and automated remediation where ...

Integrate graph‑centric data systems -- Model agent memory, context graphs, and reasoning structures using graph databases. * Ensure reliability and observability -- Implement logging, metrics ...

Integrate graph-centric data systems - Model agent memory, context graphs, and reasoning structures using graph databases. * Ensure reliability and observability - Implement logging, metrics, tracing ...

Integrate graphcentric data systems - Model agent memory, context graphs, and reasoning structures using graph databases. * Ensure reliability and observability - Implement logging, metrics, tracing ...

Experience with drivers of quality across the agent system (e.g., model, harness, data, deployment environments). * Experience in building and deploying AI agents in a regulated sector such as ...

This role focuses on the systems that let agents and models improve real engineering workflows ... Analyze experimental results and turn system behavior into actionable guidance for model, agent ...

Develop, execute, and optimize complex mathematical simulations utilizing HPAC and VLSTRACK to model agent transport, toxic chemical/biological propagation, and source-term generation from struck ...

This role focuses on the systems that let agents and models improve real engineering workflows ... Analyze experimental results and turn system behavior into actionable guidance for model, agent ...

Clear communication, technical judgment, and comfort turning complex model, agent, and infrastructure questions into practical next steps for labs. Ways to stand out from the crowd: Advance AI ...

Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems Reusable Patterns:

Develop, execute, and optimize complex mathematical simulations utilizing HPAC and VLSTRACK to model agent transport, toxic chemical/biological propagation, and source-term generation from struck ...

Model/Agent evaluation frameworks - Text2SQL evaluation, RAG evaluation

... models and agents-from data processing and training to deployment, monitoring, and governance ... including model/agent registries, feature stores, and high-throughput retrieval/RAG systems ...

... models and agents-from data processing and training to deployment, monitoring, and governance ... including model/agent registries, feature stores, and high-throughput retrieval/RAG systems ...

API specs (OpenAPI/Swagger), BPMN diagrams, data models, model/agent runbooks, and acceptance criteria. Required qualifications - 6+ years of professional software engineering experience with proven ...

This position ensures that ML models and AI agent systems are reproducible, compliant, performant, and scalable throughout their lifecycle. A strong emphasis is placed on data quality, monitoring ...

Model, Agent, Prompt, and Tool Registries * LLM Gateway and AI Access Layer * MCP and A2A Gateways * Audit, Monitoring, and Compliance Services * Design and govern the Data Access Layer for the AI ...

This position ensures that ML models and AI agent systems are reproducible, compliant, performant, and scalable throughout their lifecycle. A strong emphasis is placed on data quality, monitoring ...

This position ensures that ML models and AI agent systems are reproducible, compliant, performant, and scalable throughout their lifecycle. A strong emphasis is placed on data quality, monitoring ...