Design and deploy scalable AI and machine learning architectures using modern frameworks like LLMs and cloud platforms.
Develop, train, and optimize AI models, data pipelines, and AI-powered services with intelligent agents.
Collaborate with technical and business leaders to define AI strategy and translate business objectives into technical solutions.
They build advanced AI-powered systems for automation and business transformation. They offer a remote-first environment with a culture focused on integrity, respect, innovation, and continuous improvement.
Own end-to-end technical execution for strategic customer and partner engagements, including discovery, infrastructure design, implementation, and production deployment.
Design and build cloud infrastructure supporting advanced AI workloads, including simulation, training, evaluation, inference, and large-scale batch processing.
Improve platform reliability, security, performance, and cost efficiency by debugging issues across application, network, storage, compute, and orchestration layers.
The partner company is building the infrastructure foundation for next-generation AI applications and physical AI workloads. The engineering team is pioneering and values ownership, technical excellence, and solving challenging engineering problems at scale.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
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.
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, 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, build, and operate scalable infrastructure platforms for large-scale AI model training and inference.
Manage and optimize GPU clusters, distributed training environments, and scheduling systems for machine learning applications.
Develop software solutions and automation tools using Python and systems programming languages like Go or C++.
Our partner builds and operates foundational technology powering advanced AI training and inference workloads at scale. They offer a collaborative culture focused on innovation, engineering excellence, and continuous learning.
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.
Own delivery excellence across a portfolio of client accounts, setting technical direction and ensuring quality.
Coach and develop engineers through direct feedback on real engagement work.
Maintain client confidence and manage delivery risk across multiple concurrent engagements.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy cutting-edge AI solutions. The company is a collaborative, mission-driven team passionate about the real-world impact of AI.
Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology company that provides IT solutions and services to federal agencies, including the U.S. Department of Veterans Affairs. PSI is a mid-sized organization that values innovation and collaboration, fostering a culture of professional growth and support.
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, develop, and deploy AI agents and automation workflows powered by LLMs.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and databases on Google Cloud Platform.
Build CI/CD pipelines, monitoring, and observability to ensure production scalability and reliability.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies using automated evaluation processes. They foster an inclusive culture and support professional growth in a collaborative environment.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.
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.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
Design, build, and own agentic systems that produce client-ready financial deliverables from data ingestion to polished output.
Build evaluation and quality systems for generated deliverables, including deterministic checks and model-judged review.
Turn proprietary data into evidence-backed insight by building pipelines that discover and verify patterns.
Farsight is the agentic AI platform for financial services, helping investment banks and private equity firms automate nuanced workflows. The team comes from leading financial institutions and tech companies, focusing on hiring the best to become the best.
Build and test components of custom AI systems under senior technical direction.
Participate in client sessions across the engagement lifecycle, taking ownership of scoped assignments.
Develop technical craft through mentorship, LLM integration, and internal AI use cases.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions. They work across industries with a collaborative, mission-driven team passionate about real-world AI impact.
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.
Design and deploy AI-powered solutions to address complex business challenges for enterprise customers.
Partner with sales teams throughout the customer lifecycle from discovery to deployment.
Translate business requirements into scalable, production-ready solution architectures.
Truelogic is a leading provider of nearshore staff augmentation services. They have a team of 600+ tech professionals based in Latin America and value well-being and work-life balance.