Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Design and guide the evolution of enterprise-scale AI platforms, focusing on multi-agent systems and RAG architectures.
Collaborate with cross-functional teams to define AI strategies and technical frameworks.
Establish AI governance, safety standards, and resiliency patterns for production systems.
The partner company is a technology firm focused on AI and enterprise solutions. They are building a team of experienced engineers to work on advanced AI platforms.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Design and build advanced AI-powered systems including autonomous agents and generative AI capabilities.
Lead architecture and implementation of intelligent systems that improve digital learning experiences.
Collaborate with cross-functional teams to bring AI solutions from concept to production.
The company builds AI-powered digital learning platforms that transform educational experiences. They serve millions of learners and educators with a focus on responsible AI and inclusive culture.
Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
Develop evaluation and testing approaches to measure model performance and improve solution quality.
Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
We are an end-to-end AI transformation partner guiding enterprises from complex challenges to clear outcomes. We are a convergence of successful firms dedicated to fostering a culture of innovation and professional growth.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
Lead the architecture strategy for generative and agentic AI platforms, transforming complex business challenges into scalable solutions.
Collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
Influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The company designs and delivers enterprise-grade AI solutions built on advanced cloud technologies. It offers a remote-first culture with a focus on innovation and collaboration among talented engineers.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Evolving the AI knowledge platform with retrieval, indexing, and synthesis layer for organization-wide use.
Architecting and operating agentic infrastructure on AWS for multi-step AI systems.
Designing graph-based retrieval across data sources for multi-hop queries.
ShiftKey is a healthcare workforce marketplace that connects facilities with licensed professionals to fill shifts, mitigating staffing shortages. The company is in a high-growth phase with a friendly and engaging work environment.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Design and deploy autonomous agentic AI workflows and multi-agent systems for production.
Architect and optimize advanced RAG pipelines using hybrid search and semantic routing.
Implement enterprise safety controls and HIPAA-compliant AI pipelines.
AspenView Technology Partners specializes in creating high-performing nearshore IT teams to help North American clients innovate faster and more efficiently. They are an equal opportunity employer that values diversity and inclusion.
Build internal agentic workflows end-to-end on OpenRouter, from prototype to production, automating support and GTM operations.
Integrate our systems with the tools the company runs on, and steadily replace those tools where it makes sense.
Own the reliability of what you ship: evals, guardrails, and monitoring, so automation is trustworthy rather than flashy.
OpenRouter is an AI routing and infrastructure layer that provides a unified API for AI builders and enterprises to access and manage AI usage. They are a small team where every person has direct impact on product and users.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions.
Design and build new agent data types, pipelines, and frameworks to coordinate reasoning, function calling, and actions.
Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches.
PointClickCare is a leading health tech company that helps providers deliver exceptional care. As a founder-led, privately held company with over 30,000 provider organizations and 400+ integrated partners, they are recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, offering flexibility and growth opportunities.
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.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.