Be part of a team building backend services for core ML/AI product features
Create backend infrastructure for scalable, resilient, and performant solutions
Deploy and manage various applications in production
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered over 15 million therapy sessions and published 35+ peer-reviewed studies, with a culture of collaboration and social impact.
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.
Develop backend services and processing pipelines for large-scale healthcare data.
Integrate and optimize AI components including LLMs for intelligent features.
Collaborate with frontend, data, and AI teams to deliver data-rich user experiences.
Novellia is a patient-powered health data platform that gives US users access to their health records for free. They are a fast-growing startup with top pharma partners and investors, seeking engineers to build scalable systems.
Define and own the technical roadmap for AI platform initiatives, driving semi-annual and annual milestones.
Architect and implement production-grade LLM orchestration systems including agent frameworks and multi-step reasoning.
Lead technical design for cross-functional AI features, making decisions when trade-offs are unclear.
CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. They are a fast-growing company backed by top-tier investors like Sequoia, ICONIQ, Accel, and Sapphire Ventures, empowering high-growth companies like Netflix, Figma, and Stripe.
Contribute to the design and evolution of Expression's Agentic AI platform, defining scalable architectures for enterprise AI applications and services.
Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, and retrieval pipelines.
Provide technical leadership and mentorship, guide architecture reviews, and raise the bar for engineering quality across the team.
Expression provides data fusion, analytics, software engineering, and spectrum management solutions to the US DoD and national security community. Founded in 1997 and headquartered in Washington DC, they have a "Perpetual Innovation" culture and were ranked #1 on Washington Technology's Fast 50 in 2018.
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.
Work directly with customers to understand their workflows and operational constraints.
Build and deploy AI-enabled applications, agents, and workflow automation using LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and integrations.
Trase Systems provides an end-to-end platform for deploying and optimizing AI in the enterprise, focusing on bridging the 'last mile' of AI adoption. As a startup founded in 2023, the team is small, agile, and collaborative, with a strong emphasis on innovation and direct customer impact.
Design, deploy, and maintain scalable ML infrastructure for model training, batch processing, and real-time inference.
Build and manage cloud-based infrastructure with AWS and Snowflake using Infrastructure-as-Code practices.
Develop CI/CD pipelines, automation frameworks, and monitoring for ML systems to improve reliability and governance.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate with a team-oriented culture and offer remote work flexibility, focusing on efficient, unbiased recruitment.
Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
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.
Provide technical support for AI applications, APIs, and cloud deployments, troubleshooting complex issues and ensuring timely resolution.
Collaborate with engineering teams to escalate and resolve bugs, contribute to documentation and internal tooling.
Participate in global follow-the-sun support operations to assist customers across multiple time zones.
Tavily provides AI-powered solutions for developers and enterprise customers. They are a growing international team with a focus on innovation and customer success.
Design and develop production-grade LLM applications using Python and FastAPI.
Build and optimize retrieval-augmented generation pipelines with LangChain or similar frameworks.
Implement prompt engineering strategies and evaluate AI systems for accuracy and performance.
Our partner is an innovative engineering team building advanced AI solutions that transform how businesses interact with complex operational data. They offer a fully remote work environment with opportunities to work on cutting-edge technology and collaborate with global teams.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Develop and maintain cloud infrastructure powering our Clinical AI platform.
Build scalable APIs, microservices, and implement CI/CD pipelines.
Integrate with EHR systems and ensure compliance with healthcare regulations.
We are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Craft client code that is efficient, performant, testable, scalable, secure, and of the highest quality.
Design and implement scalable AI and agentic workflows using LLMs, focusing on reliability and observability.
Partner with Product and Engineering leadership to translate complex business requirements into scalable technical solutions.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, the company works with ambitious clients in financial services, healthcare, media, and technology, fostering a remote-first culture with values of collaboration, outperform, respect, and evolve.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.