You will design the architecture for specialized subagents operating within live customer conversations, including technical QA, product expertise, and objection handling.
You will build routing and delegation systems that determine when to answer directly, invoke a subagent, or escalate to a human.
You will master the dialogue platform, train AI agents via prompting and fine-tuning, and document workflows to educate the team.
1mind builds autonomous customer experience software that deploys AI-powered 'Superhumans' to engage, demo, onboard, and support customers across the entire buying journey. The company offers a remote-first, fast-moving culture with ownership, autonomy, and impact from day one.
Design and iterate on agent behavior across real, live workflows, including long-horizon, multi-turn agentic tasks.
Build and run evaluations against production conditions to measure performance, regressions, and edge cases.
Partner with Product and Engineering to ensure agents are steerable, trustworthy, and ready for scale.
Arcadia is a healthcare platform that transforms complex data into trusted intelligence for providers, payers, and life sciences organizations. Backed by Nordic Capital, the company has hundreds of organizational clients and a mission-driven culture focused on improving patient outcomes.
Support participants in virtual HR workshops by diagnosing and improving generative AI outputs.
Provide tool-agnostic guidance to help attendees refine prompts and achieve practical results.
Ensure responsible AI use and escalate issues as needed while fostering productive learning.
This company is a leading technology firm specializing in internet-related services and products, including search, cloud computing, and AI. It is a large global organization with a culture of innovation and collaboration.
Design and build internal AI services that help sellers create tailored sales assets and respond to deal signals.
Integrate AI agents with platforms like Salesforce, Snowflake, and Slack for permission-aware tool use.
Evaluate and improve agent behavior through user feedback, quality signals, and production monitoring.
1Password builds a secure digital future with unified access management and enterprise password management, trusted by over 180,000 businesses. They are a remote-first company with a culture of collaboration and innovation, and have surpassed $400M in ARR, earning a spot on the Forbes Cloud 100.
Own the AI foundation product teams build on: model selection, routing, context management, and tool design.
Own eval infrastructure by defining output quality standards with customers and encoding them in evals.
Ship agentic features end to end from v0 through optimization, including prompt engineering, caching, and parallel tool calls.
Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), solving data scattered across systems and spreadsheets. Backed by top VCs, it works with customers like Webflow and Notion, and is founded by former Google and Bain engineers.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Own a client's voice or chat agent end-to-end, from requirements through production and continuous iteration.
Engineer the agent's behavior by writing and maintaining instruction sets, and build automated evaluation gates.
Debug live conversations, work directly with US enterprise clients, and ship changes that impact real callers.
Rifa AI builds an AI agents platform for contact centers in regulated industries. They are a small team of passionate engineers with paying enterprise clients and growing revenue, backed by Seaborne Capital.
Lead the design and delivery of AI agents and automation workflows for NBCU's data collaboration ecosystem.
Guide development of reusable tools, APIs, and components for agentic and software engineering workflows.
Oversee production-grade Python application design, testing, and CI/CD practices to ensure reliability and scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, TV, streaming, and theme parks. As a subsidiary of Comcast, it fosters an inclusive culture and supports community engagement through employee-driven initiatives.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Shape Dia's AI experience by defining the right behavior for users and finding the best path to it.
Ship every week with hands-on work in prompts, code, and data that reaches users continuously.
Improve systematically by grounding work in evals that make quality trackable and drive faster iteration.
The Browser Company is building a better way to use the internet. They are a remote-first, distributed team of close to 100 people who are passionate about building great products.
Reason about software architecture at a deep level to guide AI agents in building the system.
Own a domain end-to-end, from triaging issues to directing agents and updating skill references.
Drive the evolution of the machine—capture conventions and improve the agent system with every session.
Swamp Club builds deterministic automation for AI agents, enabling rapid AI-driven development. The small, mission-driven team of five ships ten releases a day, with a culture of AI maximalism and intense work.
Design advanced electrical engineering problems for frontier AI training and evaluation.
Create deterministic problems with exactly one verifiable correct answer and complete solutions.
Develop problems covering circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications.
Anyone AI creates high-quality STEM training data for frontier AI models. They are a small, expert team dedicated to improving AI reasoning in technical domains.
Review and advise on evaluation criteria and scoring rubrics for AI-generated outputs.
Create, edit, and validate high-quality benchmark tasks and reference data for AI training.
Analyze model failures, including hallucinations and flawed reasoning, providing expert explanations.
The company specializes in AI evaluation and training, helping define standards for next-generation AI systems. They operate as a partner company that manages applications and next steps, valuing autonomy and expertise in their consultants.
We create high-quality STEM training data for frontier AI models. We are a remote-first company seeking experts in civil engineering to design rigorous problems for AI training.
Design and build hands-on training and lab environments for AI agents, including demos and reference implementations.
Own and maintain advanced technical courses requiring Java and REST API fluency, applying instructional design best practices.
Partner with Product, Engineering, and cross-functional teams to create curriculum that mirrors real-world implementation challenges.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. They are one of the fastest-growing SaaS companies in history, surpassing $3B in revenue, and are a public benefit corporation committed to balancing interests of customers, employees, society, and investors.
Design AI agent systems that collaborate with developers in real time.
Build and implement agentic systems for planning, coding, testing, and deployment.
Integrate LLMs and design orchestration layers for scalable AI systems on AWS.
Ubiminds connects Latin American tech professionals with software companies in the US and Canada. The company is GPTW-certified and has been supporting hundreds of professionals for 9 years.
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, and orchestration technologies for enterprise adoption.
Mentor AI engineers and promote strong engineering practices across teams.
This partner company is hiring for a senior technical leadership role focused on shaping next-generation AI agents and autonomous workflows. They are a collaborative enterprise with a culture centered on experimentation, continuous learning, and innovation, offering a remote opportunity in the US.
Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.