Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution.
Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment.
Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.
You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
Kindo is an agent automation platform for DevOps and SecOps teams, helping organizations automate high-friction operational work using autonomous agents. They are a small, highly technical team with strong customer traction and real enterprise revenue, where engineers have direct ownership over critical systems.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Design, build, and ship agentic workflows across multiple domains.
Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
Cority helps customers see and prevent risks across their operations in real time. They provide a platform that converges people, data, and AI agents and is trusted by more than 1,500 of the most complex organizations worldwide.
Define and evolve the corporate GenAI architecture, ensuring strategic alignment and scalability.
Design and implement intelligent agent platforms, including orchestration and multi-agent workflows.
Define and standardize communication protocols between agents, adopting the Model Context Protocol (MCP).
Getnet is a global technology company specializing in payment solutions for commerce. As part of PagoNxt, the global fintech of Grupo Santander, we operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.
Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
Rapidly prototype internal AI assistants and automation tools across business functions
Develop shared connectors to major LLM providers and internal data sources
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience. As they enter the next phase of rapid growth, they are seeking people to help lead the journey as a devoted and capable team.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Bridge security policy and technical execution by translating organizational security requirements into practical solutions.
Design, build, and deploy security controls across web applications, data pipelines, APIs, and Agentic AI systems.
Implement secure-by-design practices throughout the software development lifecycle, including code-level remediations.
EnableComp offers specialty Revenue Cycle Management solutions for healthcare organizations, leveraging 24+ years of expertise and its unified E360 RCM intelligent automation platform. They are a multi-year recipient of the Top Workplaces award and recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
Level AI is transforming how enterprises understand and engage with their customers. Their AI-native CX platform combines conversation intelligence, real-time agent guidance, and AI Virtual Agents to help brands deliver exceptional customer experiences at scale.
Design and implement AI-driven automation across systems and workflows.
Build autonomous or semi-autonomous agents capable of interacting with APIs, tools and internal systems.
Create internal AI tools to reduce manual work and improve operational efficiency.
Product School is the global leader in product training, with a thriving community of over two million professionals. They offer live, online certifications taught by Product Leaders and are a profitable, fast-growing company shaping the future of education.
Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
Leverage knowledge of LLM internals to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
Fine-tune conversational flows and voice output to align with customer brand standards.
Parloa is a fast-growing startup in the world of Generative AI and customer service. They have over 400 employees in Berlin, Munich, and New York and are expanding globally.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Team enablement for agentic AI & AI-native development.
Agentic orchestration & decomposition.
Correlation One develops workforce skills for the AI economy. Enterprises and governments work with them to develop talent and close critical data, digital, and technology skills gaps. They are committed to creating equal access to the data-driven jobs of the future.
Design, build, and deploy agentic AI prototypes end-to-end.
Architect and implement agent-based systems using AWS-native services.
Develop high-quality, production-ready code primarily in Python.
Coderoad is a software development company that offers end-to-end software development services. They provide opportunities to work on real-world projects and challenge yourself.