Evaluate AI tools and solutions, including Generative AI, considering technical feasibility, costs, risks, and business alignment.
Support planning, execution, and documentation of Proofs of Concept (POCs), defining success criteria and analyzing results.
Collaborate on implementing and transitioning AI solutions to production, applying security, privacy, and responsible AI practices.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture where AI is part of daily work.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Design and build AI agents and LLM-powered applications using Python and AWS Bedrock.
Develop evaluation frameworks to ensure agent accuracy, reliability, and performance.
Optimize LLM workflows, observability, and operational costs for production-ready AI solutions.
The company is building an AI-powered media planning platform that leverages large language models and AWS technologies. The remote-first team focuses on innovation, collaboration, and delivering scalable AI solutions.
Design and implement AI-powered solutions for healthcare operations, including benefits verification, prior authorizations, and claims processing.
Build and maintain web and mobile applications, backend services, and infrastructure across the full technology stack.
Own product features end to end, collaborating with clinicians and stakeholders from concept to production.
This partner company develops AI-powered software to transform healthcare practice management and clinical operations. They operate a flat, cross-functional engineering team that embraces AI-assisted development and individual ownership.
Design and develop specialized AI agents using Generative AI, LLMs, and agentic frameworks like LangChain and Semantic Kernel.
Build MCP servers and integrate AI applications with event-driven architectures, ensuring secure and traceable decisions.
Implement Human-in-the-Loop workflows and apply PromptOps practices for scalable, secure, and high-impact AI solutions.
The hiring company is a technology organization in Brazil focused on building AI-powered applications and agentic systems. It fosters a collaborative and international culture, with fully remote work and opportunities to work on innovative AI technologies.
Guide business teams to transform knowledge into AI-ready materials and design agent conversations.
Configure, test, and improve AI agents using n8n or similar automation tools, with SQL support.
Act as an AI reference across teams, maintain the AI backlog, and document best practices.
This partner company leverages generative AI to improve business operations and customer experiences. The team values autonomy, collaboration, and continuous learning, offering a remote work environment.
Develop and evolve scalable backend services and generative AI features for production environments.
Design and implement AI agents, RAG pipelines, and integrations with LLMs and external tools.
Collaborate with Product, Design, QA, Data, and AI specialists to influence product direction.
This partner company builds innovative AI-powered products to solve real-world challenges and improve digital experiences. The engineering team is remote and collaborative, with a strong focus on ownership, quality, and continuous learning.
Build, configure, test, and deploy AI assistants, intelligent workflows, automations, and low-code applications using platforms like Copilot Studio and Power Platform.
Integrate solutions with Microsoft 365, SharePoint, Teams, Salesforce, and enterprise ERP systems to deliver production-ready outcomes.
Troubleshoot and continuously improve deployed solutions using usage data and user feedback to ensure measurable business value.
This partner company delivers enterprise AI-powered solutions, intelligent workflows, and low-code applications for global clients. They foster a remote-first culture focused on professional development, structured onboarding, and ongoing support.
Manage client portfolios as a trusted technical advisor for cloud solutions.
Apply the AWS Well-Architected Framework to assess risks and improve architectures.
Collaborate with internal teams to ensure customer success and satisfaction.
The company is a forward-thinking technology organization that helps businesses unlock the full potential of cloud computing. It fosters a proactive, analytical culture with fully remote work and continuous learning opportunities.
Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
Implement prompt engineering, agent orchestration, and evaluation frameworks to ensure reliable, scalable AI outputs.
Collaborate with engineering and product teams to deliver production-ready AI solutions with robust guardrails and observability.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they foster a collaborative culture where AI is embedded in how they work and innovate every day.
Own AI solutions from discovery to production, ensuring quality and scalability.
Design and evolve Generative AI, RAG, and agentic applications with strong engineering foundations.
Collaborate with architects and product teams to establish best practices for AI evaluation and observability.
CI&T helps large enterprises turn AI potential into real business impact through AI deployment and tech-integrated solutions. With 8,000 employees across 25 countries, they foster a collaborative culture focused on innovation and continuous learning.
Architect and lead the development of an AI-first coding platform where agents and developers collaborate in real time.
Build agentic systems that plan tasks, write code, run tests, and deploy applications autonomously.
Integrate LLMs like Claude into production workflows, designing tool-use and agent orchestration layers.
Ubiminds is a GPTW-certified, people-first company that scales development teams for American software product companies. We connect Brazil's top 5% talent with U.S. companies, fostering a culture of improvement and teamwork.
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.
Lead technical onboarding and platform configuration.
Deliver technical training, workshops, and demonstrations that connect capabilities to customer needs.
Act as the technical bridge between customers, Product, and Engineering.
Pessoa provides an AI-powered software development platform that helps engineering teams improve workflows. The company emphasizes cross-functional collaboration, technical innovation, and professional growth in an inclusive, remote-friendly culture.
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.
Design, build, and operate generative AI solutions grounded in authoritative source documentation for healthcare clients.
Build document ingestion pipelines, implement guardrails, and develop evaluation frameworks to ensure accuracy and traceability.
Deploy solutions within AWS services and federal security controls while collaborating with project managers, data engineers, and client stakeholders.
Magpie Health Analytics provides secure, trustworthy generative AI solutions that help healthcare clients deliver faster, more consistent access to authoritative program guidance. They emphasize collaboration with cross-functional teams and responsible AI oversight in a culture focused on security and innovation.
Design and operate scalable cloud infrastructure on Azure and AWS for AI applications and data products. - Build reusable infrastructure-as-code modules, CI/CD pipelines, and observability frameworks. - Collaborate with international teams to deliver secure, automated, and cost-efficient cloud environments.
This partner company is a major international logistics organization operating across multiple countries. It supports a central AI team focused on cloud-native solutions for AI applications and data products in a collaborative, international environment.
Lead the technical evolution of the AI Agent Builder product, combining hands-on Python development with architectural leadership.
Design, build, and maintain scalable, resilient, and observable backend services using Python.
Mentor engineers, review code, and collaborate with Product, Design, and Frontend to deliver reliable AI-powered solutions.
RD Station is a Brazilian software company that provides marketing automation and CRM solutions for digital businesses. It fosters a collaborative, inclusive culture focused on well-being and the combination of human judgment with AI-enabled innovation.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.