Act as a technical reference for client teams, supporting architecture decisions and SDLC evolution.
Implement and adapt Flow's offerings to each project's technical context, identifying AI opportunities.
Support adoption of AI coding tools, mentor developers, and evaluate solution results.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, we foster a collaborative culture where AI is integral to our work.
Develop prototypes and MVPs using generative AI, automation, APIs, and modern web technologies.
Design and implement automated workflows with n8n and API integrations.
Collaborate with product, business, and technology teams to transform complex processes into practical solutions.
The company harnesses AI and modern web technologies to create practical, high-impact business solutions through prototypes and automation. It fosters a collaborative, innovation-focused culture with high autonomy, continuous learning, and an emphasis on diversity and professional growth.
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.
Design and build the infrastructure for AI agents to handle software development tasks from tickets to pull requests.
Orchestrate and integrate autonomous coding agents, development environments, and workflow tools like Slack and Jira.
Establish security guardrails, measure agent performance, and improve engineering speed and reliability.
The company builds an AI-powered engineering platform for fantasy sports, enabling autonomous agents to manage software delivery and improve developer productivity. It is a fast-growing, remote-first organization that values experimentation, collaboration, and AI automation.
Design, develop, and maintain conversational AI solutions and agentic workflows using Copilot Studio, Power Automate, and Python.
Build and integrate AI agents with enterprise data platforms, and architect scalable Azure infrastructure with CI/CD and Splunk monitoring.
Collaborate with international teams and leverage AI-assisted development tools to drive engineering quality.
The company builds intelligent AI solutions and enterprise automation systems for global organizations. It offers a collaborative senior engineering culture with strong technical leadership and a focus on professional development.
Design and build conversational agents and agentic workflows using Microsoft Copilot Studio, Power Automate, and Python.
Integrate AI solutions with enterprise data platforms like Snowflake and SharePoint, and operate them on Azure with CI/CD.
Set observability standards with Splunk and provide technical leadership across global teams.
Coderio designs and delivers scalable digital solutions for global companies. They are a fully remote company that values autonomy, clear communication, and technical excellence.
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 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.
Maintain and evolve platform foundations, tools, and processes for agentic development to keep n8n operating as an AI-native engineering organization.
Build and integrate agentic workflows across Linear, GitHub, CI, and developer review processes while ensuring safety and security.
Define quality metrics, benchmarks, and adoption signals to measure agent output and improve engineering productivity.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. Since 2019, the company has grown to over 260 employees across Europe and the US, with a community of 650,000+ developers, 190K+ GitHub stars, and a $5.2bn valuation.
Work across multiple development squads to support technical decisions and drive platform evolution.
Partner with Tech Leads and Architecture teams to define engineering standards and reusable solutions.
Promote generative AI tools and automation to accelerate coding, testing, documentation, and code reviews.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through an objective review process. The platform uses artificial intelligence to shortlist top-fitting candidates and shares them directly with employers, emphasizing innovation and fairness in hiring.
Analyze repositories for maintainability, dependency risks, and security patterns using AI and static analysis tools.
Use AI coding agents to accelerate code review, vulnerability explanation, and remediation proposal drafting.
Collaborate with security, DevOps, and architecture teams to create evidence packs linking findings to readiness implications.
Deutsche Telekom IT Solutions Slovakia is a leading IT services provider in Kosice, part of the Deutsche Telekom group. With over 3900 employees, they focus on innovation and continuous transformation in ICT services.
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.
Build local and autonomous AI agents that automate engineering tasks across the SDLC.
Build quality and safety mechanisms including tracing, evaluation suites, and guardrails.
Scale AI automation and platform capabilities across teams through documentation and adoption.
BetterMe is an all-in-one well-being ecosystem helping millions improve physically, mentally, and emotionally. The company values trust, growth, and flexibility, with 90% of leads promoted from within.
You will design and develop enterprise-grade AI applications using Python, Java, and Spring Boot.
You will integrate generative AI models, including LLMs, RAG, and agentic frameworks, into production systems.
You will ensure security, privacy, and compliance across cloud-native Azure applications.
This partner company builds secure, intelligent solutions that transform complex business operations through artificial intelligence. Its collaborative, agile team values accountability, integrity, continuous learning, and diverse perspectives.
Design and build secure enterprise applications with React, TypeScript, Python, and API services.
Build agentic workflows and MCP integrations that connect AI applications to enterprise data and tools.
Mentor other engineers and help guide technical direction across teams.
Nortal shapes digital transformation for global enterprises and public sector organizations, helping them turn data into real business value. We champion autonomy, open communication, and respect for diversity, with a close-knit remote community and strong People Care support.
Lead architecture and development of production-grade autonomous multi-agent AI systems.
Provide technical leadership across AI engineering, cloud, and DevOps practices.
Design and implement LLM- and RAG-based solutions using LangGraph, LangChain, and Claude.
The partner company specializes in building production-grade autonomous and multi-agent AI systems for enterprise clients. Team size and culture are not specified in the posting.
Own the agentic development environment, ensuring AI agents can operate autonomously in cloud-based environments and execute full test suites.
Build MCP server integrations to connect agents to internal systems like CircleCI, Slack, Datadog, and GitHub.
Drive enablement by owning repo-wide agent documentation and developing tooling for engineers and non-engineers.
Hightouch is a data activation platform that helps companies sync customer data to their business tools. It is a remote-first startup with a fast-paced, high-ownership culture.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.