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.
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 own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
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.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
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 and contribute to RAG system components under senior guidance, with growing autonomy.
Write production code across the stack and integrate AI components into backend services and RESTful APIs.
Support deployment to AWS with CI/CD, and contribute to evaluation, documentation, and architectural decisions.
Provectus is an AWS Premier Partner and Anthropic Strategic Partner that helps enterprises implement AI solutions using Claude and agentic systems. They have a global presence with offices in North America, LATAM, and EMEA, and maintain a remote-friendly culture with a growing team of AI engineers.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.
Turn ambiguous client problems into shipping code, building agentic workflows and applied AI pipelines like RAG and structured extraction.
Stand up lightweight front-ends and build eval harnesses to validate AI solutions before deployment.
Drive projects end-to-end from discovery through deployment, collaborating closely with client and internal teams.
AZX accelerates positive impact in critical industries through AI transformation, working with category-leaders in real estate, energy, logistics, and utilities. We are a profitable, bootstrapped public benefit corporation founded in 2024, building a long-term company for those passionate about AI and positive impact.
Develop scripts and tools to improve processes like onboarding, transactions, and reporting.
Integrate AI and LLMs using generative AI for tasks like document handling and decision support.
Design agent-based automations using frameworks like LangChain or CrewAI to perform multi-step tasks independently.
Experian is a global data and technology company powering opportunities for people and businesses worldwide. We have an amazing team of 25,200 people across 32 countries, with a people-first and inclusive culture.
Design and build production-grade AI agents and LLM-powered systems.
Develop multimodal data ingestion and structured information extraction pipelines for unstructured data.
Own AI solutions end-to-end from requirements to deployment and optimization.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. They have a remote-first culture with values centered on data nerdiness, teamwork, ownership, and positivity.
Lead the architecture, design, and implementation of enterprise-scale Generative AI and agentic AI solutions.
Define reusable AI capability and pattern libraries, set technical standards for evaluation, groundedness, and security.
Provide technical leadership and mentorship to AI engineers, establishing engineering practices for responsible AI.
Crum & Forster provides property & casualty, accident & health, specialty and standard commercial lines insurance solutions. With 3,000 employees and a 200-year history, they maintain an employee-first culture earning top workplace awards.
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.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Design end-to-end architecture for AI-driven solutions with a focus on Generative AI.
Engage in AI pre-sales activities including client workshops, discovery sessions, and technical presentations.
Define and oversee implementation of AI solutions such as RAG pipelines, vector search, and LLM integrations.
We develop solutions that make an impact for companies around the globe. We build cross-functional engineering teams and embrace a culture of openness, respect, grit, and enjoyment.
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.
Design and deploy AI-driven applications, RAG pipelines, and agentic systems for real-world enterprise use.
Build semantic search and vector-based retrieval layers using LangChain, LlamaIndex, and embedding models.
Process large-scale datasets with Python, PySpark, and SQL, and design scalable data warehouse architectures.
They build next-generation intelligent, agentic AI systems that can reason, retrieve information, and execute complex workflows. They focus on innovation, remote work, and employee growth, offering a collaborative and inclusive environment.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.