Build and ship AI-enabled applications end to end using LangChain, LangGraph, and LangSmith.
Own technical delivery across the full stack: backend services with Python/FastAPI and modern web UIs with TypeScript/React.
Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. It is a spinout from Equips, a leader in equipment maintenance services, and is rolling out to its first customers.
Architect and build scalable Generative AI and agentic AI applications from prototype to production.
Design LLM-powered workflows, prompt strategies, and multi-agent architectures using LangChain, LangGraph, or similar.
Collaborate directly with customers, product leaders, and engineering teams to translate business requirements into robust AI solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They are a fast-moving technology environment with a focus on AI-driven recruitment processes and a culture of innovation and objectivity.
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.
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.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
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.
Architect and implement multi-agent systems using Google ADK for production-ready AI workflows.
Integrate custom tools and APIs, including MCP, to build deterministic graph-based agentic logic.
Deploy and scale optimized agents on Agent Engine (GCP) while ensuring high availability and low latency.
TTEC Digital coaches clients to ensure their employees feel valued, supporting an employee-first approach to customer experience. With 1,800+ employees, the company has been certified as a Great Place To Work and values diversity and inclusion.
Architect and build scalable Generative AI and agentic AI applications from concept to production.
Design LLM-powered workflows, prompt strategies, and multi-agent solutions using LangChain and LangGraph.
Evaluate, fine-tune, and optimize LLMs, and own end-to-end ML and GenAI pipelines.
We are a partner company specializing in AI-powered recruitment, connecting top talent with innovative companies. We foster a collaborative, fast-paced environment with a focus on technical growth and professional development.
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.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
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.
Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling.
Configure agentic harnesses (Azure Foundry, AWS Bedrock, Claude Cowork-style deployments) for client teams.
Present architecture options and recommendations to client stakeholders, translating technical concepts for all audiences.
Redapt designs, deploys, and optimizes agentic AI solutions for enterprise clients. The company emphasizes embedded client delivery and technical advisory, with a culture of hands-on engineering and client partnership.
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 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.
Embed with customers to understand workflows, constraints, and success measures, then turn operational problems into technical plans.
Design, build, and deploy AI agents that integrate with customer tools, data, and business processes from prototype to production.
Measure real-world impact, iterate based on evidence, and share reusable patterns across deployments.
DehazeLabs transforms complex enterprise workflows into AI agents that operate in real-world environments. The company is a growing startup focused on applied AI, with a culture that blends engineering, product, and customer delivery.
Design, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
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.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Define technical vision and roadmap for agent architecture (multi-agent workflows, task decomposition, state management, tool-use) and gain leadership buy-in.
Hire, mentor, and manage a small team of Agent Architects, setting technical standards and providing real-time feedback.
Act as final technical escalation for complex client deployments, leading discovery and presenting trade-offs to senior non-technical stakeholders.
Pencil uses AI to make ads, aiming to make marketing effective and effortless. Founded in 2018 by a team from Google, Facebook, and Uber, backed by Sequoia and Entrepreneur First, and acquired by The Brandtech Group in 2023, they focus on bringing GenAI to Fortune 500 brands.