Turn ambiguous client problems into shipping code, building agentic workflows and applied AI pipelines like RAG and structured extraction.
Stand up lightweight front-ends and build eval harnesses to validate AI solutions before deployment.
Drive projects end-to-end from discovery through deployment, collaborating closely with client and internal teams.
AZX accelerates positive impact in critical industries through AI transformation, working with category-leaders in real estate, energy, logistics, and utilities. We are a profitable, bootstrapped public benefit corporation founded in 2024, building a long-term company for those passionate about AI and positive impact.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Build and maintain production-quality reference implementations and educational content for developers.
Represent the company at conferences, on livestreams, and within developer communities.
Work closely with product and engineering teams to identify friction and improve developer experience.
The company develops modern orchestration and AI technologies. It is a remote-first, high-performance environment with a focus on autonomy and developer community.
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 reusable utility ML libraries for forecasting, disaggregation, demand response, detection, and asset health. - Own the simulation engine with Rust and Python bindings, including validation methodology. - Own the grid-data toolkits including protocol codecs and synthetic scenario generators.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML for climate and sustainability. Founded in 2024, it is a profitable public benefit corporation that works with industry leaders in real estate, energy, logistics, and utilities.
Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more.
Design tool interfaces and context systems to give the agent semantic understanding of cloud resources and access to engineering workflows.
Create feedback loops, self-correction mechanisms, and evaluation frameworks to ensure reliable autonomous operation.
Pulumi is reimagining how teams build cloud software, enabling developers and infrastructure experts to work better together through a unique combination of programming languages, tools, and systems innovation. With a global community of over 350,000 members and serving more than 3,250 customers, Pulumi is a remote-first company that fosters a culture of innovation and inclusion.
Work directly with GP clients to identify workflows where custom AI agents create leverage.
Design and build agentic systems including retrieval, tool integration, and orchestration.
Own components from prototype through deployment and production iteration.
Juniper Square provides a unified platform combining technology, data, and fund administration services for private markets. With over 1,000 employees and $350M in funding, they emphasize ownership, urgency, and collaboration.
Build and evolve chat surfaces and agent workspaces with streaming protocols and full-stack ownership.
Maintain component and design systems, ensuring consistency across chat, workspaces, and app builder.
Ship enterprise-ready features including accessibility, localization, and audit trails.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed machine learning and enterprise AI for climate and sustainability. We are a public benefit corporation founded in 2024, profitable from inception, and growing quickly with clients in real estate, energy, logistics, and utilities.
Design and operate AI agents and automations connecting Salesforce, Gainsight, Slack, and other GTM tools.
Own the architecture of the GTM Systems AI layer, including MCP servers and serverless services on GCP.
Partner with Revenue Operations and GTM leaders to identify automation opportunities and deliver incrementally.
Camunda provides an enterprise platform for agentic orchestration, coordinating AI agents, people, and systems. Trusted by over 700 organizations and recognized as a next unicorn, it is fully remote with an inclusive, innovative culture.
Engage directly with client CXOs to identify high-value wedges and build working proofs in weeks, translating into scalable MVP rollouts on client or hyperscaler platforms.
Rapidly engineer Proofs of Value using agent workflows with tool use, enterprise system integration, and lightweight UIs to demonstrate business impact and technical feasibility.
Produce scalable Agentic Blueprints including agent roles, orchestration patterns, and guardrails, then hand off cleanly to delivery teams with a production-ready plan.
Our client is an IT company specializing in enabling digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency, and actionable insights. They are building enterprise-grade GenAI and Agentic AI capabilities across Fortune 2000 clients.
Build autonomous agent systems that make defensible decisions for compliance audits.
Design evaluation harnesses, golden datasets, and drift detection to ensure agent reliability.
Own technical direction across engineering, product, security, and customer experience teams.
Sprinto is an Autonomous Trust Platform that centralizes trust requirements across security frameworks, vendors, and customers. Backed by $31.8M in funding and trusted by over 4,000 organizations, Sprinto fosters a culture of ownership, remote collaboration, and continuous improvement.
Lead a cross-functional delivery team spanning product, engineering, data, AI, and security from discovery through operational deployment.
Translate mission needs into clear technical plans, establish priorities, and resolve risks across multiple specialties.
Build, mentor, and scale a high-performing technical organization, ensuring integrated, secure, and repeatable delivery.
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies in healthcare, cyber, and national security. DEFCON AI, a Red Cell company, leverages AI for resilient optimization of complex systems, with a team focused on delivering decision-support capabilities for the federal government.
Lead the architecture and direction of a group of Forward Deployed Engineers building autonomous intelligence systems.
Translate customer use cases into precise specifications and direct AI agents to generate production code.
Engineer context for reliable agent output and verify code correctness, security, and maintainability.
ServiceNow provides an AI platform for business reinvention, automating workflows to free people from busywork. They serve 85% of the Fortune 500 and foster an AI-native culture where technology and talent are unstoppable together.
Build the paved road by making the safe path the fast path for AI solutions across the company.
Turn wins into reusable patterns enabling teams to build shared skills and agent specs.
Build the bench by partnering with People team on AI literacy and developing champions inside each function.
Replicant builds an AI platform for contact centers, using AI agents and conversation intelligence to help Fortune 500 companies resolve requests and improve agent performance. The company is a fast-growing, remote-first team with a culture of ownership, humility, and self-distance.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Build and improve products and infrastructure for AI-powered teams.
Contribute across multiple product areas, including CI infrastructure and agentic applications.
Take ownership of projects from concept through delivery, with a focus on usability and quality.
Our partner is an early-stage engineering team building infrastructure and tools that help AI-powered teams work more efficiently. It is a high-growth, profitable startup with a small, high-impact team.
Architect, build, and operate production-grade agentic AI systems for enterprise identity security.
Design multi-agent systems with orchestration, tool use, and planning loops that operate reliably in production.
Lead technical decisions on agentic architecture, model integration, and retrieval-augmented generation pipelines.
Veza is a pioneer in identity security, providing an Access Graph platform that maps identity ecosystems across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management and now part of ServiceNow, Veza serves global enterprises like Blackstone and Expedia.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Design and build internal AI solutions to improve engineering productivity and software delivery.
Develop reusable agentic workflow patterns and platform enablement capabilities.
Partner with engineering teams to drive AI adoption through technical guidance and enablement sessions.
RealPage is accelerating the adoption of Generative AI across its technology organization. It provides a competitive salary package with comprehensive benefits and is committed to an inclusive environment.
Own the full ML delivery lifecycle from data discovery to deployment, monitoring, and retraining.
Build forecasting and detection models robust to real-world data quality issues and defend tradeoffs.
Maintain client-facing presence and feedback loop, shipping usable capability like FastAPI, React, or scheduled jobs.
We accelerate positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. We're a fast-growing, profitable public benefit corporation founded in 2024, working with category leaders in real estate, energy, logistics, and utilities.