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.
They are a technology company focused on integrating AI capabilities into customer-facing products and internal workflows. The team is fast-moving and product-focused, with a culture of ownership and continuous iteration.
Design AI solution architectures, ensuring performance, scalability, security, and cost-effectiveness.
Build and deploy production-ready AI solutions, including RAG, agents, and LLMOps.
Act as a technical reference, influencing standards and leading complex initiatives.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, we foster a collaborative and inclusive culture focused on innovation and well-being.
Design, develop, and maintain AI agents and automated workflows to improve productivity and scalability across functions like Support, Sales, and HR.
Integrate AI solutions with enterprise systems using APIs and cloud platforms, ensuring strong governance and security.
Lead pilots, define success criteria, and report ROI metrics for AI initiatives, supporting change management and adoption.
Our partner company is seeking an AI Strategy & Enterprise Enablement Analyst to bridge AI, automation, and business transformation. They foster an inclusive, respectful, and collaborative culture.
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.
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.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Build and deliver full-stack and AI-powered solutions using Python, AWS, Azure, and Claude.
Work directly with business users to understand needs and iterate on collaborative solutions.
Implement RAG and agent-based capabilities with testing and evaluation to ensure quality.
The partner company focuses on delivering practical AI-powered solutions to clients across industries. It fosters a collaborative culture centered on innovation, learning, mentorship, diversity, and inclusion.
Develop and maintain user-facing reports and analytics products that help customers understand workforce data and identify opportunities for improvement.
Build scalable data models and pipelines in Google BigQuery, applying statistical methods to generate actionable insights.
Collaborate with cross-functional teams and work with AI agents to automate workflows and surface intelligent insights.
The company provides an AI-focused SaaS platform that helps customers understand workforce performance and identify opportunities for improvement. It operates with a distributed, remote team and emphasizes cross-functional collaboration and data-driven decision-making.
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.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
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.
Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology solutions provider specializing in IT services for government agencies. They foster a collaborative culture focused on innovation and professional growth.
Design and implement LLM solutions including RAG, agents, and prompt orchestration.
Integrate AI provider APIs (OpenAI, Anthropic, Google) into production systems with focus on cost and latency.
Evaluate architectures and define metrics for model quality and production monitoring.
Redbee is an Argentine technology company with over 14 years of experience redefining digital products in the financial industry. They are passionate about co-creating innovative solutions and focus on delivering value quickly and with quality.
Own data products end-to-end, driving success through accuracy, client value, and efficiency.
Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.
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.
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.
Lead discovery and development of AI agents, analytical solutions, and predictive models from concept to production.
Build advanced generative AI systems with multi-agent architectures, LangChain/LangGraph, and RAG for document analysis.
Implement MLOps/GenAIOps, real-time monitoring dashboards, and ethical AI safeguards like bias and prompt security testing.
Banco BV is a major Latin American financial institution with 37+ years turning credit into customer relationships. Named best financial institution to work for by GPTW in 2025, it has an agile, digital, and customer-centric culture.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.