Design, develop, and maintain MLOps pipelines on AWS to automate and operationalize machine learning models.
Collaborate with Data Scientists to deploy, monitor, and scale ML solutions in production environments.
Architect cloud-based systems, integrate APIs, and build web applications and LLM-powered agents.
The company is a partner of Jobgether, specializing in cloud and AI solutions. It fosters a collaborative, innovation-driven environment with a focus on professional development and employee well-being.
Design, develop, and evaluate machine learning models using real-world health data for personalized interventions.
Work with engineering teams to integrate models into production digital therapeutic solutions as Software as a Medical Device.
Ensure models meet regulatory, privacy, and explainability requirements while exploring generative AI applications.
They develop AI and machine learning solutions for digital therapies to improve patient outcomes. They are a technology-focused healthcare company with a remote-first culture.
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.
Design, develop, and deploy AI/ML and GenAI solutions from concept through production.
Build and optimize models for NLP, forecasting, classification, and anomaly detection.
Collaborate with stakeholders to translate business needs into scalable AI systems.
Our partner company builds and deploys high-impact AI and machine learning solutions across various industries. They offer a remote-first culture and emphasize collaboration and technical excellence.
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, build, and operate production-grade reusable AI capabilities and services adopted by multiple engineering and product teams.
Build and evolve LLM gateways, proxies, model routing, and agentic workflows such as LangGraph and MCP.
Define standards for production AI adoption including automated testing, versioning, and incident response.
Coderio designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset to lead complex software initiatives. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
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.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Design, develop, and deploy AI models to solve complex business challenges.
Collaborate with cross-functional teams to integrate AI solutions into production systems.
Continuously improve and optimize AI pipelines for performance, scalability, and reliability.
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.
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.
Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership and engineering excellence.
Define the technical vision and architectural direction of the AI product, ensuring high standards for performance and scalability.
Contribute hands-on to the design and optimization of production AI systems, including model serving and inference pipelines.
The partner company is developing a cutting-edge AI platform that powers innovative products at scale. They foster a collaborative, remote-first environment and focus on engineering excellence.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
Design, build, and deploy production-grade AI applications, agents, and enterprise workflows.
Establish AI Center of Excellence standards, reusable patterns, and governance practices.
Mentor engineers and influence architecture, engineering standards, and responsible AI across the organization.
They are a technology company focused on building enterprise AI capabilities and scaling AI solutions within a fast-growing environment. The culture is collaborative, fast-paced, and designed for experienced AI engineers who enjoy building and defining what comes next.
Architect scalable Python microservices and AI integrations on AWS.
Drive system health, code quality, and observability standards.
Mentor junior engineers and collaborate with US-based client teams.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. Our nearshore team culture empowers engineers to take ownership and grow continuously.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
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.
Lead the architecture, design, and implementation of enterprise-scale Generative AI and agentic AI solutions.
Define reusable AI capability and pattern libraries, set technical standards for evaluation, groundedness, and security.
Provide technical leadership and mentorship to AI engineers, establishing engineering practices for responsible AI.
Crum & Forster provides property & casualty, accident & health, specialty and standard commercial lines insurance solutions. With 3,000 employees and a 200-year history, they maintain an employee-first culture earning top workplace awards.