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.
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 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.
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.
Develop and maintain full-stack applications using Java, Spring Boot, Angular, and TypeScript.
Own product development end-to-end, from architecture to deployment, within an autonomous engineering team.
Use and critically review AI-generated code while applying modern application security practices.
The company focuses on transforming complex global work compliance into automated technology in an AI-first, security-driven environment. With a remote-first culture, it emphasizes autonomy, continuous learning, and high-impact product ownership, though specific employee numbers are not disclosed.
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 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 full-stack enterprise applications using Java, Spring Boot, Python, React, and TypeScript/JavaScript.
Build and integrate secure RESTful APIs, microservices, and chatbot interfaces with cloud-native technologies.
Collaborate with product owners, architects, and stakeholders in an Agile environment to deliver production-ready solutions.
Our partner is a large enterprise focused on building secure, scalable software solutions and AI-enabled experiences. The culture emphasizes collaboration, innovation, and professional development in an Agile environment.
Design and implement the core AI agent runtime in Python, including orchestration loops, tool definitions and execution, memory and context management, and failure handling.
Build and maintain evaluation datasets, automated evaluators, LLM-as-judge pipelines, and regression tracking to ensure agent quality and performance.
Develop Python and Node.js microservices for agent hosting and LLM interactions, and build reliable Laravel/PHP APIs for integration.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities, partnering with companies to manage applications and next steps. They emphasize a fast-growing, collaborative environment with a focus on professional growth and cutting-edge technology.
Build AI-powered features and services integrating LLMs and ML models into products.
Develop GenAI capabilities like RAG, embeddings, and prompt/system design.
Collaborate with product managers, designers, and data engineers to ship AI features.
Protective Life helps protect customers against life's uncertainties by providing insurance and financial products. They are transforming their software operations to focus on AI and machine learning, with an emphasis on innovation and employee wellbeing.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
Design and develop AI/LLM-powered capabilities on Azure AI services, including RAG and orchestration.
Implement secure, cloud-native applications on Microsoft Azure with modern engineering practices.
Mentor engineers and establish reusable patterns for AI development, ensuring security and efficiency.
HealthEquity empowers healthcare consumers by providing HSAs and related solutions to connect health and wealth. With a vision to make HSAs as popular as retirement accounts by 2030, the company values a purple culture where team members are valued as individuals.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
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.
Develop generative AI solutions, including informational agents and intelligent assistants.
Integrate Java and Angular with AI technologies such as LLMs, RAG, and agentic workflows.
Optimize prompts, implement RAG architectures, and ensure LLMOps quality and governance.
CI&T helps large companies 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 culture of continuous learning and innovation, with AI integrated into our daily work.
Design, fine-tune, and deploy language model-based solutions from research to production.
Build and improve GenAI pipelines including RAG, corrective RAG, and agentic orchestration.
Develop scalable data and embedding pipelines, and evaluate generative AI outputs against accuracy and safety standards.
Liberty Mutual is a global insurance company that builds generative AI capabilities for its products. It is a large organization with an inclusive culture that values diverse perspectives, flexibility, and professional development.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
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.