Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.
Design and build orchestration for long-running, multi-step agents.
Build the evaluation system that measures whether prompt, model, or tool changes improve agent performance.
Give every agent run traces, metrics, and alerts to catch problems before clients do.
Stello is an AI transformation firm that builds AI agents to take over operational workflows for mid-market and enterprise companies. It is a small team that reviews each other's work, shares learnings, and helps when a teammate is stuck.
Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring production quality
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.
Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own agent work from rough prototype to production, including evals.
Extend the agentic workspace with new canvas capabilities, MCP server, and skills.
Honeycomb provides an observability platform that helps engineers understand and debug complex systems. It is a fully distributed company of over 200 people, with a culture that values impact, autonomy, and inclusivity.
Design and deploy AI agents that automate sales, operations, and support workflows.
Own technical delivery end-to-end, from architecture to production and post-launch improvements.
Work directly with clients to understand workflows and explain technical tradeoffs.
Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.
Design, build, integrate, test, and operate platform services that support production AI agents across multiple product teams.
Implement reusable capabilities for orchestration, runtime execution, tool integrations, observability, reliability, and workflow automation.
Partner with product teams, platform teams, QA/Eval, operations, and support stakeholders to release agent capabilities with strong quality and operational readiness.
RealPage provides software solutions for the real estate industry, including property management and revenue management. The company emphasizes professional development and offers a comprehensive benefits package.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use, and multi-step execution.
Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.
Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.
Own the technical direction of a product area, defining how teams specify, delegate, and verify agentic work.
Set standards for specification quality, verification, and security architecture to keep AI-generated work safe at scale.
Mentor engineers across teams and drive large-scale initiatives combining human and agentic contributors.
BambooHR builds a people intelligence platform that transforms HR for small and mid-sized businesses. The company is a values-driven market leader with a culture that champions growth, flexibility, and meaningful work.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Own the access layer and integration architecture for the Applied AI team's Intelligence Core and external agentic-commerce products.
Define versioned schemas, signed records, authority lease services, and tamper-evident logging for verifiable agent actions.
Lead security-first engineering practices, including least-privilege access, zero raw PII, and evaluation of advanced agent frameworks.
Zerohash is a crypto and stablecoin infrastructure platform that powers digital money services for banks, brokerages, and fintechs. Founded in 2017 and backed by over $280 million in funding, the company is a regulated, compliance-first organization trusted by major financial brands.
Own end-to-end delivery of agentic platform features, from design to production.
Architect and scale the runtime that powers AI agents across the company.
Mentor engineers and drive reliability, cost, and security in production.
Alan is a health insurance and prevention platform that integrates insurance, prevention, and care into a single user experience. With over 1,000 employees, 1M+ members, and 40K+ partner companies, the company fosters a culture of ownership, speed, and collaboration.
Lead the AI Core team as Staff AI Engineer, setting technical direction for Compass, the AI agent platform.
Architect multi-agent systems, own MCP/A2A integrations, and drive agent orchestration, evaluation, and observability.
Oversee large-scale technical projects, mentor engineers, and champion AI-assisted development across the organization.
Basis empowers agencies and brands with software that automates digital media operations, including planning, reporting, and financial reconciliation. Headquartered in Chicago, it is a top workplace with a culture focused on inclusivity and growth.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Lead the engineering strategy and execution for evaluations of AI agents, owning the core evaluation platform.
Design scalable evaluation infrastructure, APIs, workflows, and production systems across software categories.
Mentor and develop a team of engineers as the technical authority on agentic evaluation.
This company focuses on building credible, scalable evaluations of AI agents from software vendors. It operates as a fully remote, inclusive team with a flexible culture and a focus on professional growth.
Design agent architectures for planning, reasoning, tool use, and memory integration.
Improve reliability on long-running tasks with failure recovery and evaluation systems.
Build loops for agents to improve with real use, balancing quality, latency, and cost.
Adaption builds AI systems that evolve in real-time, making them flexible and personalized. They are a global-first team focused on talent density and collaboration.
Evolve and run the agent platform for internal and client-facing use cases, including runtime, SDKs, templates, and paved paths.
Harden infrastructure with IaC, network topology, security controls, and operational tooling with SRE.
Design for regulated industry with PHI isolation, least-privilege identity, audit trails, and human review; own production SLOs and incident response.
Arcadia is a healthcare data platform that transforms complex, diverse data into a unified foundation to help organizations deliver better care, boost revenue, and lower costs. It is a remote-first team of fiercely driven individuals committed to making healthcare more sustainable, named a Built In 2026 Best Place to Work.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Build production-ready infrastructure for autonomous AI agents, including secure code execution, state management, and model routing.
Collaborate with research teams to turn emerging ML ideas into scalable, fault-tolerant distributed systems.
Prototype and evaluate new technologies for agent workflows, from identity to resource management.
Cohere is a security-first enterprise AI company building foundation models and end-to-end products for real-world problems. We are a global team of engineers, researchers, and designers passionate about our craft, with offices worldwide.
Design, build, and deploy AI-driven systems into production environments at the intersection of frontend, backend, and infrastructure.
Build AI-native interfaces and workflows, integrating LLM-powered systems and agentic architectures.
Own problems end-to-end, from initial requirements to rollout, while working directly with customers.
Trail builds the context layer AI agents run on, providing a governed graph of company rules, exceptions, and institutional knowledge. It's a fast-moving, engineering-driven startup working directly with customers to deploy AI systems into live production.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.