Lead technical projects for Generative AI and intelligent solutions.
Design architectures for LLM-based applications, RAG, and AI agents.
Develop Java applications integrated with AI and Machine Learning services.
We are a global data and technology company that drives opportunities for people and businesses. We have an incredible team of 25,200 employees in 32 countries and a people-centric, inclusive culture.
Develop and enhance backend applications using Java and Spring Boot, and frontend applications using Angular.
Apply Spec-Driven Development (SDD) and explore AI tools like Claude Code, Skills, and MCPs to optimize workflows.
Collaborate with multidisciplinary teams, participate in agile ceremonies, and contribute to continuous improvement.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It lists roles on behalf of partner companies and processes applications through its system.
Develop and maintain backend applications using Java and Spring Boot.
Build responsive frontend applications with Angular and apply AI-assisted development.
Participate in agile ceremonies, code reviews, and technical discussions.
Our partner is a technology company that builds modern applications using Java and Angular. They offer a collaborative, agile work environment with a focus on continuous learning and employee wellbeing.
Operate the SDLC with an AI focus, implementing automations with multi-step agents.
Structure detailed specifications to feed AI models, ensuring data quality and process security.
Develop new projects using AI end-to-end, adapting to different tech stacks as needed.
We help large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 CI&Ters across 25+ countries, we accelerate innovation.
Design and implement AI-driven solutions using Java and Generative AI.
Collaborate with stakeholders to integrate AI into existing applications.
Contribute to agentic workflows and performance engineering.
The company is a partner of Jobgether, seeking a Java Gen AI Engineer. The role offers flexible contract engagement and exposure to enterprise-scale AI initiatives.
Design, develop, and maintain scalable cloud-native applications and microservices using Java and Python on Microsoft Azure.
Leverage AI-powered development tools to improve software delivery speed and build reusable AI workflows for automation.
Work closely with architects, product owners, QA, DevOps, and business stakeholders while mentoring junior engineers.
CI&T helps large enterprises transform potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 CI&Ters across over 25 countries, they collaborate to build solutions with real impact in an AI-driven culture.
Develop modern, scalable software using Java, Python, Azure, and microservices while embracing AI-first development to boost productivity.
Collaborate with architects, product owners, QA, DevOps, and offshore teams on architecture, code reviews, and sprint planning.
Mentor junior engineers, promote AI adoption, and take end-to-end ownership of services built.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, native execution, and tech-integrated solutions. The company has 8,000 CI&Ters across more than 25 countries, fostering a collaborative culture that innovates daily.
Analyze real-world AI interactions to identify opportunities for improving response quality, accuracy, and user experience.
Design and optimize prompt engineering strategies, RAG pipelines, and AI evaluation frameworks.
Collaborate with AI Engineers to deploy validated improvements into production systems.
The company specializes in developing and improving AI-powered products. They maintain a remote-first, international team with a focus on innovation and collaboration.
Design, implement, and evolve agentic flows that transform the SDLC for development teams.
Customize and configure generative AI platforms for specific client SDLC needs, including skills, personas, prompts, and contexts.
Act as a technical reference across teams, supporting client meetings, solution discussions, and spreading engineering and AI culture.
We help large companies transform AI potential into real business impact with AI deployment, AI-native and tech-integrated business solutions. With 30 years of experience, we have 8,000 employees across 25 countries, collaborating to build solutions with real impact.
Design, develop, and maintain robust backend applications and RESTful APIs using Java and Spring Boot.
Build and deploy scalable microservices on AWS with Docker and Kubernetes, integrating AI models like Claude or OpenAI.
Take end-to-end ownership of features, from architecture through production monitoring and troubleshooting.
The company is a technology partner that builds scalable, production-grade backend applications and AI-powered solutions. It operates with a distributed team across LATAM and fosters a collaborative, remote-first culture.
Design and develop scalable enterprise applications using Java, Angular, and microservices in an Agile environment.
Leverage AI-assisted development tools across the full SDLC to improve productivity and code quality.
Collaborate with global teams to implement REST APIs, CI/CD pipelines, and containerized deployments.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants across 21 countries and a turnover of €850M, it focuses on delivering future-ready solutions with a culture of empowerment and innovation.
Drive system design, task decomposition, and technical direction for modernizing technology with AI-led practices.
Own the full software lifecycle using AI tools for code generation and testing, while applying human judgment to validate output.
Raise the engineering bar by coaching the team on how to specify, delegate, and validate effectively.
ComPsych is the worldwide leader in organizational mental health, well-being, and absence management, serving over 160 million lives across 200 countries. For over 40 years, they have combined technology with human expertise, and 40% of the Fortune 500 choose their solutions.
Design and implement new features across the full stack of the Actian Data Intelligence Platform, from backend services to frontend interfaces.
Use AI tools actively as a force multiplier to accelerate development and focus on high-performance solutions.
Contribute to technical design sessions, code reviews, and production troubleshooting with a security-first mindset.
Actian provides a Data Intelligence Platform that helps organizations discover, govern, and trust their data at scale. They operate globally, move fast, and build for the long term with a passionate, diverse team.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Design and implement full-stack product features across backend services and frontend interfaces, ensuring strong performance, reliability, security, and maintainability.
Take ownership of features from requirements through deployment and production support, using AI coding assistants to accelerate development.
Collaborate closely with product managers and engineers in an agile, feedback-driven environment focused on continuous improvement.
The company builds a modern data intelligence platform that enables organizations to discover, govern, and trust their data. They are a remote-first team with an agile, collaborative culture focused on continuous improvement and innovation.
Designing, building, and deploying AI and Generative AI solutions like LLM-powered applications and chatbots.
Developing and optimizing prompt engineering strategies and RAG pipelines using vector databases.
Integrating AI models into cloud-based applications and implementing agent-based workflows.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our culture embraces openness, respect, grit, and guts, combining employment with enjoyment in cross-functional engineering teams.