Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Build and deploy data pipelines and generative AI solutions on AWS, including ETL/ELT workflows and RAG systems.
Work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.
Collaborate in agile environments and participate in code reviews to ensure high-quality engineering standards.
Innovative Solutions is a technology consulting firm that helps clients build and deploy modern data and AI solutions on AWS. The company values collaboration and is committed to delivering production-ready solutions.
Design and deploy enterprise-grade AI solutions, autonomous agents, and multi-agent systems.
Build production-ready AI capabilities using LLMs, LangChain, AutoGen, CrewAI, and MCP.
Collaborate across squads to ensure consistent architectural standards and MLOps/AIOps practices.
Inetum is a European leader in digital services, helping businesses and public sector organizations achieve digital transformation. With 26,000 consultants and specialists across 19 countries, they emphasize proximity, flexibility, and responsibility, generating €2.2 billion in revenue in 2025.
Lead and mentor diverse software engineering teams across the Americas and EMEA, fostering innovation, collaboration, and continuous improvement.
Drive software delivery transformation through agentic development, AI-assisted engineering tools, and modern delivery models.
Oversee architecture and hands-on technical leadership for platform and AI services across Python, TypeScript, AWS, and LLM frameworks.
This partner company builds financial technology products, platform services, and AI-driven solutions for global businesses. It operates as a remote-first organization with a high-trust culture and a focus on engineering innovation and collaboration across EMEA and APAC.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Design and build enterprise-grade agentic AI platforms and LLM-powered applications.
Define reference architectures for RAG pipelines, multi-agent orchestration, and enterprise integrations.
Implement observability, guardrails, and responsible AI practices for production deployment.
Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies on digital adoption. It employs world-class professionals known as 'Brillians' and has earned Great Place to Work® certification repeatedly.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Lead and grow the AI Transformation engineering team, owning delivery, quality, and operational health.
Guide architecture of agentic AI systems and set engineering standards for security and compliance.
Partner with business units to align engineering delivery with business outcomes and track KPIs.
GoodLeap is a technology company providing financing and software for sustainable home solutions like solar and energy-efficient upgrades. With over 1 million homeowners served and $30 billion in financing since 2018, they support a collaborative culture and are dedicated to positive environmental impact through their nonprofit, GivePower.
Own AWS data architecture and technical roadmap across ingestion, transformation, storage, and serving.
Build reliable batch and near-real-time pipelines with clear SLAs and observability.
Model ERP supply chain data into a reusable warehouse and lead legacy migration.
Clarium is an AI-powered healthcare supply chain platform that helps hospitals reduce overspending and improve efficiency with its Astra OS. Founded in 2020, Clarium has raised $43M and is trusted by leading health systems, with a collaborative, fast-paced culture.
Lead the AI Platform team to build the technical rails for AI-native operations, including LLM gateway, agent framework, and evaluation infrastructure.
Drive the Velocity program to achieve true autonomy by optimizing product delivery cycle time with AI-written code and coverage gates.
Grow the platform org through a Director and principal engineers, holding the line on a single shared platform across all domains.
Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and 1.8M+ travelers. With 1,000+ employees, we are one of the fastest-growing companies in travel tech, recognized as a Best Place to Work and a leader in AI innovation.
Design and optimize RAG solutions combining LLMs with enterprise knowledge stores.
Build AI knowledge architectures, reusable agents, and copilots for analytical workflows.
Collaborate with engineering teams to deploy AI capabilities across business applications.
This company provides AI-enabled analytics solutions for enterprise customers, leveraging generative AI, machine learning, and modern data platforms. It fosters a collaborative, cross-functional culture with career progression opportunities and exposure to emerging AI technologies.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
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 and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
Set standards for trustworthy AI and mentor data scientists through code review and guidance.
ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.