Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
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 architecture and technical direction for AI tools and platforms.
Guide development of AI-enabled workflows, agents, and automation.
Mentor and lead multiple staff developers while owning code quality and engineering standards.
Apex IT is a global consulting firm providing Salesforce and Oracle enterprise solutions to transform customer, employee, and student experiences. As a remote company, we have top talent across the US and India and offer a flexible work-life balance.
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.
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 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.
Design and implement AI systems that automate complex business operations.
Own production deployment and monitoring of AI pipelines.
Collaborate with cross-functional teams to integrate AI into core workflows.
Doneverse builds AI systems and automation to run entire businesses. It is a growing company focused on AI-driven operations and production-ready solutions.
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 scalable AI solutions using RAG, agentic frameworks, and MLOps.
Collaborate cross-functionally on cutting-edge projects integrating tools like LangChain, CrewAI, and Google ADK.
Apply advanced prompt engineering and monitor AI application performance to ensure robust solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a collaborative culture with opportunities for learning and growth across a diverse team.
Build and operate production AI agents that reason over trusted context and use approved tools safely.
Integrate models with APIs, databases, and internal systems, implementing resilient tool use and error handling.
Establish evaluation harnesses, LLMOps foundations, and operational runbooks to ensure reliable, measurable performance.
RoomPriceGenie helps hoteliers achieve optimal pricing through a powerful algorithm that analyzes hotel data and market trends. Founded in 2017, the company has a global, diverse team and a culture of transparency and respect.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
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, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
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.
Identify workflows where AI agents can achieve 10-100x efficiency gains, build the business case, and align with domain leadership.
Design and implement agentic workflows integrating CRM, ERP, ticketing, and other enterprise systems with human-in-the-loop checkpoints.
Own production agent performance, track KPIs, tune prompts and retrieval, and provide observability for continuous improvement.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a challenging and collaborative culture.
Build AI agents, workflows, and automations that solve real customer and operations problems.
Apply LLMs, retrieval, and tool calling to practical financial workflows.
Create AI-assisted experiences for onboarding, support, KYC, and risk review.
We are the leading insurance platform in Southeast Asia, helping people plan, save, and grow their money. With over 20 nationalities working remotely and from offices, we are expanding to offer spending, saving, investing, and more.
Design and ship AI agent systems end to end, from experiments to production, owning data access layer and retrieval strategy
Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
Set the technical direction for AI at Kota and raise the bar on engineering practice
Kota is reimagining insurance and retirement benefits for the modern workforce. Founded in 2022, we have raised more than 20M EUR and our team is spread across the world.
Own product initiatives end-to-end, from discovery to delivery, combining engineering expertise with product judgment.
Translate ambiguous business goals into clear workflows, technical plans, and polished user experiences.
Use AI-assisted development tools to accelerate coding, debugging, refactoring, and testing.
Jobgether is an AI-powered job matching platform that connects candidates with companies. They use technology to review applications and share top candidates with hiring teams, fostering an inclusive, collaborative environment.
Drive the technical vision for AI in 360Learning's product and coach AI Engineers as the team grows.
Set technical direction, own architectural decisions, and stay close to the code.
Partner with Product Manager, Product Designer, and Full-Stack Developers to deliver AI features.
We enable companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. Founded in 2013, we have raised $240 million with 400+ team members across North America and EMEA.