Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Develop and maintain AI-powered applications using Python and generative AI models, including LLMs and prompt engineering.
Integrate AI services like OpenAI or Azure OpenAI into workflows and support cloud infrastructure on AWS, Azure, or Google Cloud.
Contribute to monitoring and observability using tools like Datadog, Grafana, and Splunk, while assisting with automation and containerized environments.
This position is listed on behalf of a partner company, which manages all applications and next steps. The company is looking for a Gen AI Specialist based in the United States, offering a fully remote work opportunity with flexibility and autonomy.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Lead the architecture strategy for generative and agentic AI platforms, transforming complex business challenges into scalable solutions.
Collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
Influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The company designs and delivers enterprise-grade AI solutions built on advanced cloud technologies. It offers a remote-first culture with a focus on innovation and collaboration among talented engineers.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Lead the strategy and evolution of AI-powered developer experience, enabling engineering teams to safely and effectively integrate AI throughout the software development lifecycle.
Optimize developer productivity by improving build performance, testing workflows, linting, type checking, and overall engineering efficiency across TypeScript/Node.js and Python environments.
Mentor engineers, gather continuous feedback, and drive long-term improvements across the development organization.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. As a technology-driven recruitment service, it focuses on objective and fair candidate evaluation.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Partner directly with customers to translate challenges into scalable AI solutions and lead technical discovery.
Design, build, and deploy AI applications using LLMs, cloud-native architectures, and CI/CD pipelines.
Mentor engineers and guide technical workstreams across multiple client engagements with strong ownership.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. They use automated processes to evaluate applications and share shortlists with employers, emphasizing efficient, fair recruitment.
Build and evolve the core AI tutoring system with prompt architectures and agentic workflows.
Design and implement scalable software integrating AI with platform systems.
Collaborate cross-functionally with educators and product teams to translate pedagogical goals into technical solutions.
DataCamp empowers everyone with data and AI skills through practical learning experiences. It serves over 17 million learners and 6,000+ companies, including 80% of Fortune 1000, fostering a culture of data-driven decision-making and transparency.
Build the AI Platform Foundation by leading design and ownership of core infrastructure.
Standardize the AI Developer Path by architecting high-level abstractions and APIs.
Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.
Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.
Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.
Design and implement end-to-end agentic AI solutions using serverless AWS architecture and Amazon Bedrock.
Build production-grade AI applications and RAG pipelines, integrating enterprise systems like NetSuite and Salesforce.
Develop responsive frontend applications with React and maintain observability-rich backend services.
Our partner is a technology company focused on building next-generation agentic AI systems for enterprise customers. They offer a collaborative, high-performance engineering environment with exposure to cutting-edge AI technologies.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Lead the AI and automation roadmap for pre-sales operations.
Design and deploy AI agents and workflows to improve customer engagement.
Collaborate with sales, solutions, and marketing teams to drive revenue growth.
The partner company is a technology firm focused on AI-driven go-to-market solutions. They operate with a remote-first culture and emphasize innovation and collaboration.
Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Design and deploy autonomous AI agents to automate construction and estimation workflows.
Build agentic AI workflows using LLM frameworks such as LangChain, LangGraph, and Claude Code.
Integrate AI applications with cloud platforms and optimize system performance for scalability and reliability.
The company develops AI-driven solutions for construction and estimation workflows. It is a stable and growing organization that values continuous learning and innovation.