Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Own end-to-end execution of major technical projects for strategic customers, from design to delivery.
Work directly with customer engineering teams and executives to design tailored AI solutions.
Build production-ready software and integrations using strong Python and system design skills.
This company specializes in AI-powered solutions and software engineering for strategic customers. It operates with a fast-paced, autonomous culture focused on experimentation and technical excellence.
Lead the design and development of cloud-native AI solutions using Microsoft Azure and large language models.
Build AI-powered capabilities like RAG, prompt orchestration, and intelligent automation.
Establish engineering standards and collaborate with security teams to ensure compliance.
Our partner is a company that builds cloud-native AI solutions to empower internal teams and accelerate innovation. They have a remote-first engineering team and offer competitive benefits.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Build scalable Python services and AI platform components deployed in cloud environments.
Our partner is a technology company developing advanced agentic AI platforms for enterprise automation. They foster an inclusive, remote-friendly culture with a focus on innovation and collaboration.
Design, build, and deploy agentic platforms and AI-powered solutions within enterprise client environments.
Develop scalable LLM-based applications using modern AI frameworks and engineering practices.
Collaborate with technical and non-technical stakeholders to understand business needs and deliver effective solutions.
Our partner is a company that deploys advanced AI-powered solutions within complex enterprise environments. They work with a global team of engineers, designers, and technology experts to create scalable agentic platforms.
Lead AI presales and delivery initiatives across North American and international markets.
Combine technical expertise, customer-facing leadership, and commercial acumen to drive AI opportunities.
Oversee AI engagements from discovery through delivery to ensure quality, profitability, and client satisfaction.
This company specializes in AI-powered solutions and cloud services, helping clients scale AI across North American and international markets. It operates in a fast-paced, high-growth professional services environment with distributed teams.
Design, develop, deploy, and maintain AI-powered applications and agentic solutions for fiber-optic network expansion.
Build AI copilots, multi-agent systems, and Retrieval-Augmented Generation solutions to improve process automation and operational efficiency.
Collaborate with data engineers, architects, and business stakeholders to transition proofs of concept into production-ready solutions.
Deutsche Telekom IT Solutions Slovakia provides innovative information and communication technology services. With over 3900 employees, it is the second largest employer in eastern Slovakia, fostering a culture of continuous improvement and transformation.
Design and build production-grade AI agents and LLM-powered systems.
Develop multimodal data ingestion and structured information extraction pipelines for unstructured data.
Own AI solutions end-to-end from requirements to deployment and optimization.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. They have a remote-first culture with values centered on data nerdiness, teamwork, ownership, and positivity.
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
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.
Design and implement Azure cloud infrastructure and AI-powered workflows for modernization initiatives.
Build REST APIs, integrate with legacy systems, and orchestrate document processing pipelines.
Operate autonomously across multiple workstreams while communicating transparently with stakeholders.
Cresteo is a people-first nearshore tech services company specializing in Azure and AI solutions. They prioritize transparency and innovation with a small, passionate team.
Engage with clients to understand scientific data and workflows, ensuring successful deployment and adoption.
Customize and deploy Alchemi's AI products to address unique client needs.
Act as technical point of contact, gathering feedback to shape product direction.
Alchemi builds advanced AI solutions tailored for the scientific community, optimizing workflows and compliance in research and development settings. The company fosters a flexible, fully remote, collaborative, and innovative team culture.
Design, build, and architect AI capabilities on the Jitterbit platform using LLM, RAG, Azure AI, and other cutting-edge technologies.
Collaborate with cross-functional teams to define, design, and ship new features, ensuring reliability and scalability.
Mentor fellow engineers and stay current with emerging trends in AI and cloud computing to drive innovation.
Jitterbit is a leading data, application, and process workflow automation solution rooted in iPaaS, integrating critical business processes to accelerate digital journeys. The company is a growing leader with a distributed, remote-friendly culture that emphasizes performance, innovation, and collegiality.
Develop and deploy production-ready AI solutions using Python, Azure, and LLMs.
Collaborate with cross-functional teams to translate business challenges into scalable applications.
Manage MLOps, CI/CD pipelines, and containerized deployments in an Agile environment.
Jobgether is an AI-powered job platform that matches candidates with roles using objective, fair reviews. It processes applications and shares shortlists with hiring companies, supporting a global remote workforce.
Conduct hands-on adversarial testing across AI models, applications, and data pipelines to identify vulnerabilities.
Perform advanced red-team assessments including jailbreaks, guardrail bypass, and prompt injection analysis.
Produce detailed vulnerability reports and collaborate with AI safety and engineering teams to improve security.
This company specializes in AI security research and adversarial machine learning. It is a remote-first organization with a collaborative culture focused on technical impact and professional growth.