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.
Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling.
Configure agentic harnesses (Azure Foundry, AWS Bedrock, Claude Cowork-style deployments) for client teams.
Present architecture options and recommendations to client stakeholders, translating technical concepts for all audiences.
Redapt designs, deploys, and optimizes agentic AI solutions for enterprise clients. The company emphasizes embedded client delivery and technical advisory, with a culture of hands-on engineering and client partnership.
Lead technical evaluations and proofs of concept for an enterprise AI coding platform in real customer environments.
Engage directly with CTOs, VPs of Engineering, and senior developers on AI agent architecture and integration.
Manage enterprise security and deployment reviews, troubleshoot integration issues, and feed customer insights into product.
The company is an enterprise AI coding platform provider helping engineering organizations accelerate development with AI agents and LLM infrastructure. It operates as a remote-first global team with a fast-paced, innovative culture focused on collaboration and rapid product iteration.
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.
Lead in-depth technical discovery with engineering teams and customer stakeholders to understand AI inference requirements.
Translate customer objectives into production-ready architectures and define PoC success criteria.
Identify recurring workload patterns and communicate insights to Product and Engineering for platform evolution.
They are a partner company focused on AI infrastructure and performance-sensitive AI inference workloads. They have an international, engineering-led team solving complex challenges at the forefront of AI.
Design, develop, and deploy AI/ML and GenAI solutions from concept through production.
Build and optimize models for NLP, forecasting, classification, and anomaly detection.
Collaborate with stakeholders to translate business needs into scalable AI systems.
Our partner company builds and deploys high-impact AI and machine learning solutions across various industries. They offer a remote-first culture and emphasize collaboration and technical excellence.
Architect and build scalable Generative AI and agentic AI applications from prototype to production.
Design LLM-powered workflows, prompt strategies, and multi-agent architectures using LangChain, LangGraph, or similar.
Collaborate directly with customers, product leaders, and engineering teams to translate business requirements into robust AI solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They are a fast-moving technology environment with a focus on AI-driven recruitment processes and a culture of innovation and objectivity.
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 tooling for capturing and processing data from agents and humans at significant scale.
Solve hard problems around compute, orchestration, scaling, security, and reliability.
Help develop approaches for training, benchmarking, and evaluating AI agents.
Prolific builds human data infrastructure for AI development, connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. They are a mission-driven company at the forefront of AI innovation, with a remote culture and a focus on impactful work.
Embed across teams to identify where AI can remove operational friction and build internal tools end-to-end.
Drive adoption through workshops, pairing, and office hours, measuring success by active usage.
Partner with Security to establish guardrails, access scoping, and audit trails for AI solutions.
LocalStack is a local cloud development platform that provides secure local sandboxes simulating cloud environments for developers and AI agents. They are a Series A startup with $25M funding, globally distributed teams across 25 countries, and a culture focused on ownership, openness, and excellence.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Own the AI architecture across Flip Fusion, Ask AI agent gateway, and Flip Flows.
Lead and grow a team of three AI engineers, staying hands-on with the hardest problems.
Shape a young AI engineering discipline with enormous design space and no inherited playbook.
Flip is the leading AI-powered employee experience platform for frontline workers in retail, manufacturing, and logistics. The company is a young tech company with a relaxed working atmosphere and highly motivated people.
Own end-to-end deployment of Tines’ platform within complex enterprise environments, integrating with existing systems and configuring workflows.
Drive adoption across the organization by training and enabling users and stakeholders at every level.
Identify and develop new use cases by surfacing opportunities where Tines can create additional value.
Tines is an intelligent workflow platform that applies AI, automation, and integration to drive real business results. Founded in 2018, the company fosters a culture of simplicity, speed, and soundness, serving customers from startups to public companies.
Own customer solutions end-to-end, rapidly prototyping and deploying agentic AI solutions on the Kinaxis Maestro platform.
Partner with product and engineering to convert field learnings into durable platform capabilities and drive adoption.
Operate as part of a tight, multi-disciplinary unit, trading tasks seamlessly to deliver customer impact.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. With over 2,000 employees and a culture of innovation, we are expanding our team to revolutionize supply chain solutions.
Bridge business needs and AI engineering to deliver production-ready solutions for enterprise customers.
Partner with cross-functional teams to identify high-value opportunities and turn them into scalable deployments.
Take complex workflows from discovery and prototyping through production adoption and optimization.
The company is a technology firm specializing in AI-powered enterprise solutions. It fosters a collaborative culture focused on innovation and continuous learning, with a team of professionals dedicated to driving customer success.
Design, build, and ship custom AI workflows and agents to power client engagements.
Collaborate with clients from senior executives to frontline teams to understand pain points and assess AI solutions.
Document learnings into playbooks and help evolve the company's offerings and processes.
Melior is an AI transformation firm that helps mid-market companies adopt AI strategically and practically. It is a small, early-stage team led by experienced operators and technologists, fostering a culture of building impactful solutions.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
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.
Design, develop, and deploy AI models to solve complex business challenges.
Collaborate with cross-functional teams to integrate AI solutions into production systems.
Continuously improve and optimize AI pipelines for performance, scalability, and reliability.
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.
Embed with customers to understand workflows, constraints, and success measures, then turn operational problems into technical plans.
Design, build, and deploy AI agents that integrate with customer tools, data, and business processes from prototype to production.
Measure real-world impact, iterate based on evidence, and share reusable patterns across deployments.
DehazeLabs transforms complex enterprise workflows into AI agents that operate in real-world environments. The company is a growing startup focused on applied AI, with a culture that blends engineering, product, and customer delivery.