Design and build the agent execution harness, owning the orchestration layer that routes inputs, manages context, and handles multi-step agentic workflows at scale.
Ensure reliability, observability, and fault tolerance in production AI systems while optimizing for latency and cost.
Lead eval engineering and prompt infrastructure to maintain agent quality and drive data-informed decisions across model updates.
Architect production-grade multi-agent frameworks and orchestration layers from scratch.
Balance rapid prototyping with long-term sustainable architectural foundations.
Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and other privacy-minded products. With over 225 million monthly users, we are a mission-driven organization owned by the Mozilla Foundation, employing thousands of volunteers and collaborators worldwide to build open-source software for a better internet.
Design, build, and operate multi-agent workflows and tool-enabled agents for resilient production pipelines.
Architect and maintain end-to-end RAG systems covering document ingestion, chunking, embedding, retrieval, and answer synthesis.
Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge, and hallucination detection.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of experience, we serve 20,000 client companies globally, including 30% of the Fortune 500, and foster a diverse, inclusive culture centered on individual excellence and learning.
Design and implement multi-agent state machines using LangGraph and LangChain for autonomous decision-making.
Build production-grade RAG pipelines on AWS with dual-engine vector search and serverless ingestion.
Architect secure multi-tenant AI systems with RBAC, PII redaction, and HITL guardrails.
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. As a Providence Equity portfolio company, we are a dedicated team fostering innovation and collaboration in a remote-first environment.
Architect and ship production-grade agentic AI applications including multi-agent orchestration, retrieval systems, and evaluation pipelines.
Design and build learner-facing AI experiences and operator tools end-to-end using React and TypeScript.
Own production reliability for AI systems including model failover, rate limiting, cost monitoring, and incident response.
Chegg Skills builds applications that help motivated career switchers transition into high-growth roles. The company serves thousands of learners and educators each year through a high-ownership engineering team rethinking modern education.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
Contribute hands-on-keyboard to agent-first repositories, building and iterating on production AI agents alongside the Factory engineering team.
Coordinate delivery across concurrent portfolio-company builds, tracking milestones, dependencies, and risks.
Develop deep fluency in agentic architectures and support due diligence by assessing AI capabilities for potential portfolio companies.
Vista Equity Partners is a private equity firm that collaborates with portfolio companies to build production AI agents for measurable business impact. They operate a fast-moving, multi-engagement environment with significant exposure to senior leadership.
Design and own the agent orchestration model, tool-use architecture, and human-in-the-loop protocol for a complex transaction workflow.
Ensure the system is secure, auditable, and extensible, with a sandbox data model and zero-retention policy.
Validate technical feasibility stage by stage and lead cross-functional teams through build phases.
Future Works is a US-focused, AI-native professional services firm that builds operational AI and data systems. They are a team of "Time Benders" on a mission to collapse timelines to operational transformation for high-footprint companies in energy, real estate, and data.
Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Deploy Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments.
Integrate enterprise APIs, internal data sources, and authentication systems into agent workflows.
Partner with customers to scope requirements, implement solutions, and iterate based on feedback.
Nous Research is an AI research company that develops advanced AI agents for enterprise deployment. The team is entrepreneurial and focuses on solving complex technical challenges through customer collaboration.
Build agent harnesses in Python using LangChain and LangGraph, including tool-calling and structured outputs.
Develop evaluation frameworks with golden datasets, LLM-as-judge, and regression suites, wiring them into CI.
Collaborate with data engineers on Snowflake-backed retrieval patterns like Cortex Analyst and Search Services.
Kobie is a loyalty solutions partner that helps brands build emotional connections with their consumers. Named a Top Workplace in the USA, they offer a flexible remote culture with a focus on collaboration and growth.
Own end-to-end AI system layer across product and platform.
Drive shift from AI-powered features to AI-powered business operations.
Lead ~30 engineers across 4-6 teams to build intelligent workflows.
Jobber helps small home service businesses like plumbers and landscapers manage their operations through technology. With over 250,000 businesses on the platform, Jobber fosters a supportive, diverse culture focused on impact.
Own design and implementation of agent harness layer for autonomous app generation.
Develop long-horizon agentic workflows with maximal autonomy and robust evaluation loops.
Research novel AI approaches and ship them to production with strong observability and debugging.
Sekai is building an AI-driven consumer platform for creating, remixing, and sharing interactive mini apps. The company is Series A, backed by Khosla, a16z, Mayfield, and A*, with $30M raised and a remote-first culture.
Design and implement multi-agent workflows, including task decomposition, state management, and tool-use.
Implement rigorous evaluation frameworks to measure and improve agent performance at scale.
Develop reusable agents and prompt libraries serving 1,000+ brands with unique voices simultaneously.
Pencil builds the agentic OS for marketing, creating complex multi-agent architectures for brand-safe, scalable generative AI. They are a growing tech company with a distributed team, valuing innovation and flexibility.
Design and ship end-to-end AI solutions using code-first development, agent frameworks, APIs, and low-code platforms.
Embed within business teams to identify automation opportunities and translate goals into agentic workflow specifications.
Act as in-team AI expert, training colleagues and iterating on workflows based on usage feedback.
Emplifi is the only Autonomous CX platform unifying social marketing, commerce, and customer care for more than 20,000 brands worldwide. The company operates internationally with a fast-paced culture, emphasizing trust, flexibility, and professional growth.
Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
Own and evolve the Retrieval-Augmented Generation (RAG) layer and agentic AI capabilities, designing and optimizing systems that connect LLMs to high-quality data.
Design and implement AI agents and agentic workflows, including tool use, planning, and multi-step task execution, integrating with enterprise systems.
Partner with leadership to identify, scope, and deliver agentic AI use cases across the business, contributing to the AI roadmap and internal AI practice.
Disher partners with a global supply chain solutions organization to fill this role. The employer empowers high-performance teams to solve complex global challenges through creativity, partnership, and technology, offering a supportive, collaborative environment with a focus on work-life balance and professional development.
Build and ship AI agents, APIs, and applications on Affirm's internal platform, owning the full lifecycle from architecture to production.
Turn messy business requirements from People Operations stakeholders into production systems, integrating with tools like Workday and Notion.
Design reliability infrastructure for multi-model LLM services, including structured output validation and quality controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The People Tech & Analytics team builds and owns the data, AI, and technology infrastructure for Affirm's People function, running like a product engineering group embedded in HR.
Architect and build AI-native products for enterprise service operations.
Lead technical direction and design scalable distributed systems.
Mentor engineers and drive engineering excellence across teams.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture where technology and talent are unstoppable together.