Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team.
Spearhead strategic technological changes and champion code refactoring efforts to keep the core codebase cutting-edge and performant.
Lead technical story breakdowns, architectural design, and mentor engineers across the department.
Appian provides AI automation for mission-critical work, automating complex processes in large enterprises and governments. With over 25 years of experience, the company is known for its reliability and scale, and fosters an inclusive culture with employee-led affinity groups.
Build LLM evaluation systems and diagnose agent performance issues across prompts and tools.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation for global brands. Backed by Y Combinator and Index Ventures, the company drives efficiency and higher quality experiences.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Design and implement autonomous agents and multi-agent orchestration systems for complex, open-ended tasks.\n- Build and optimize production-grade LLM applications with a focus on reliability, observability, and low-latency performance.\n- Architect advanced RAG pipelines and vector database strategies to provide agents with accurate, real-time context.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective evaluation. The company operates with a distributed, global-first team culture, emphasizing fairness and innovation in recruitment.
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.
Design and build internal AI services that help sellers create tailored sales assets and respond to deal signals.
Integrate AI agents with platforms like Salesforce, Snowflake, and Slack for permission-aware tool use.
Evaluate and improve agent behavior through user feedback, quality signals, and production monitoring.
1Password builds a secure digital future with unified access management and enterprise password management, trusted by over 180,000 businesses. They are a remote-first company with a culture of collaboration and innovation, and have surpassed $400M in ARR, earning a spot on the Forbes Cloud 100.
Own the architecture and system design, setting technical direction for AI agents.
Groom stories with product owners and direct AI agents rather than typing code.
Hold final approval on every story, making corrections permanent to improve the system.
AMPECO empowers businesses with innovative software solutions in e-mobility and energy. They are a fast-growing company managing 300,000+ charge ports across 70 markets with a flat structure.
Implement and educate clients on Claude Code and AI workflows from demos to production. - Drive transformation and advisory on AI-native software development processes including code review and testing. - Build agentic applications and technical artifacts tailored to client tech stacks.
A consulting firm and official partner of Anthropic, helping enterprises implement the Claude AI platform. The company works with clients worldwide, primarily in North America, across technology, finance, and healthcare sectors.
Design and build production-grade agentic AI systems for marketing and customer experience.
Architect agent workflows with reasoning, tool use, retrieval, and performance monitoring.
Evaluate emerging frameworks like LangGraph and LangChain for enterprise applications.
The company specializes in developing production-grade agentic AI systems for enterprise marketing and customer experience. It fosters a remote-first, collaborative culture focused on innovation and technical excellence.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
You will design the architecture for specialized subagents operating within live customer conversations, including technical QA, product expertise, and objection handling.
You will build routing and delegation systems that determine when to answer directly, invoke a subagent, or escalate to a human.
You will master the dialogue platform, train AI agents via prompting and fine-tuning, and document workflows to educate the team.
1mind builds autonomous customer experience software that deploys AI-powered 'Superhumans' to engage, demo, onboard, and support customers across the entire buying journey. The company offers a remote-first, fast-moving culture with ownership, autonomy, and impact from day one.
Collaborate with client teams to diagnose operational bottlenecks and develop testable hypotheses.
Build and test AI-powered prototypes using coding agents like Claude Code or Cursor.
Drive adoption by working directly with users and iterating on solutions until they are effective in live workflows.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The platform uses AI to review applications and provide a shortlist to employers, emphasizing efficiency and objectivity.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.
HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.
Design and build production-grade AI agents that answer complex analytics and marketing questions.
Rapidly prototype and develop proofs of concept for AI-powered data and marketing workflows.
Translate customer needs into intuitive AI-assisted product experiences while balancing experimentation with scalable engineering.
They build AI-powered data and marketing experiences for customers. The environment is highly autonomous, fast-moving, and intellectually curious, with a focus on meaningful impact.
Own end-to-end quality of AI product experiences, improving response usefulness and reliability.
Build evaluation frameworks and run experiments to measure and improve AI performance.
Translate AI failure patterns into prioritized fixes for Product and Engineering.
Progress Partners is a fast-growing technology company building and scaling next-generation SaaS and mobile platforms. Our global team of experts collaborates across time zones to deliver category-defining innovations.