Knowledge Graphs Jobs

Together AI

Together AI runs one of the largest GPU fleets globally, and the Infra Agent Systems team is responsible for developing the software that powers and automates this infrastructure. The team builds production AI agents designed to diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, they are building the core platform, which includes knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. This role offers the unique opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, tackling complex engineering challenges with significant real-world impact.

$250k - $300k

Sim is building a platform to create autonomous AI agents for enterprise systems. The agent harness is the core system that ingests and reasons over a knowledge graph of company context to build and operate these agents. You will own the systems responsible for context retrieval, planning and execution, tool use, memory, and failure recovery. Your work will involve building evaluations and using production traces to enhance how company knowledge is translated into reliable agent behavior, directly shaping the harness architecture and future capabilities.

$190k - $250k

Distyl AI is seeking creative researchers to push the envelope of AI utilization in enterprise. This role focuses on designing and investigating architectures where multiple agents coordinate to solve complex problems through structured interaction and reasoning. You will build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of the problem. The work involves studying interaction patterns, how agents exchange information, critique reasoning, and coordinate execution across complex workflows to establish the design language for high-performing agent teams.

$150k - $250k

TRM Labs is seeking an AI Agent Engineer to join their remote US team. This role focuses on enabling next-generation AI applications, particularly Large Language Models (LLMs) and agentic systems. The AI Engineering Team builds robust pipelines, high-performance infrastructure, and operational tooling for the rapid, safe, and scalable deployment of AI systems. You will work with petabyte-scale pipelines, serve models with millisecond latency, and ensure AI systems are production-ready through observability and governance. The team actively evaluates and integrates cutting-edge LLM and agent tools, including open-source stacks, vector databases, and orchestration tools.

$200k - $275k

TRM Labs is seeking a Staff Agent Engineer to join their AI Engineering Team, focusing on next-generation AI applications, particularly Large Language Models (LLMs) and agentic systems. The team's mission is to build robust pipelines, high-performance infrastructure, and operational tooling for the rapid, safe, and scalable deployment of AI systems. This role involves managing large-scale data pipelines, serving models with low latency, and ensuring AI systems are production-ready through observability and governance. The engineer will also evaluate and integrate cutting-edge tools in the LLM and agent space, including open-source stacks, vector databases, evaluation frameworks, and orchestration tools to accelerate innovation.

$200k - $275k

We are seeking a Principal AI Engineer to provide hands-on technical leadership for complex, production-grade AI systems. This is a deeply technical builder role focused on defining technical direction through coding, system design, and enabling teams to move faster and scale effectively. You will architect and build end-to-end AI systems, including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems, while leading the design of multi-agent and tool-calling systems for reliable production operation. The role involves establishing architecture patterns for scalable, cost-aware, and observable AI applications, driving technical decisions across data modeling, AI pipelines, infrastructure, and APIs, and defining best practices for evaluation, monitoring, and governance.

TRM Labs is seeking an Agent Engineer to join their AI Engineering Team, focusing on next-generation AI applications, particularly Large Language Models (LLMs) and agentic systems. The team builds robust pipelines, high-performance infrastructure, and operational tooling for the rapid, safe, and scalable deployment of AI systems. This role involves managing petabyte-scale pipelines, serving models with low latency, and ensuring AI systems are production-ready through observability and governance. You will also evaluate and integrate cutting-edge LLM and agent technologies, including open-source stacks, vector databases, and evaluation frameworks, to accelerate innovation.

$200k - $270k

The Institute of Foundation Models is a research lab dedicated to building, understanding, using, and risk-managing foundation models. We aim to advance AI research, nurture future AI builders, and drive transformative contributions to a knowledge-driven economy. As a Research Scientist focusing on data-centric large language model (LLM) development, you will push the boundaries of how LLMs reason, retrieve, and interact with external information. Your work will involve identifying, collecting, and organizing datasets to enable complex reasoning tasks, and developing scalable systems and tooling to integrate research with engineering, directly impacting the performance and reliability of intelligent systems.

$150k - $450k