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• Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
• Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
• Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.

Paper is reimagining how schools support students so that every learner can reach their full potential.

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows.
• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
• Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.

Sierra Studio connects talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. They specialize in enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust with over 250 people.

• Development and deployment of LLM-powered features, including summarization tools.
• Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
• Collaborate with medical and product teams to deliver AI features for practitioners and patients.

Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.

This role involves hands-on design, development, and deployment of enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes. The position offers exposure to cutting-edge AI technologies and collaboration with cross-functional teams.

This position is posted by Jobgether on behalf of a partner company.

• Establish the technical vision for our AI product infrastructure.
• Develop frameworks that make LLM integration seamless and reliable; building APIs and SDKs that allow LLMs to interface with Wealthsimple data and functionality.
• Build new AI-powered product capabilities from 0 → 1; collaborating directly with product teams to bring AI features to life.

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.

• Lead the design, development, and deployment of AI/ML models.
• Build and maintain production-grade ML pipelines and model monitoring.
• Mentor and develop junior AI engineers, laying the foundation for AI best practices.

Payabli enables any software company to become a payments company through its payment infrastructure and monetization platform to boost enterprise value.

• Drive the development of intelligent, user-facing features using AI and LLMs.
• Collaborate with product, design, and engineering teams to deliver AI-powered experiences.
• Integrate multiple LLMs and AI models to deliver context-aware and personalized user experiences.

At ClickUp, they are not just building software, they're architecting the future of work with a converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search.

• Architect and implement scalable AI platform services for LLMs and other AI models.
• Apply LLMs and AI technologies to build and enhance intelligent product features.
• Develop robust APIs and backend systems for seamless integration of AI-powered features.

ClickUp is creating the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

• Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
• Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
• Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).

ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

• Implement the company’s AI strategy to set the foundation for AI initiatives.
• Lead the design, development, and rollout of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) based solutions.
• Develop and deploy AI models and solutions into the company’s cloud infrastructure.

Horizons is building the infrastructure to power borderless teams by handling global payroll, benefits, taxes, and compliance through technology.

• Apply state-of-the-art AI/ML techniques to develop cybersecurity solutions addressing complex real-world challenges.
• Collaborate with cross-functional teams to translate prototypes into production-ready systems.
• Contribute to research initiatives, keeping the team at the forefront of AI/ML and cybersecurity innovations.

This position is posted by Jobgether on behalf of a partner company.

• Build and evolve Rasa’s core Conversational AI engine, leveraging LLMs.
• Lead architecture decisions and algorithm implementations.
• Collaborate with engineers to build Rasa Pro, enabling developers to build, deploy, and maintain complex AI assistants.

Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants.

• Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI.
• Collaborate with teams across the business to understand pain points and identify high-impact automation opportunities.
• Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly.

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies.

• Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
• Translate business needs into scalable machine learning models and automation workflows.
• Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.

• Drive fundamental and applied research in AI.
• Build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation
• Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems.

Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Design and implement full-stack features using Next.js/TypeScript + FastAPI.
• Integrate LLMs into product workflows; craft and refine prompts optimized for iterative feedback, reliability, and scalability.
• Work closely with product and design to test ideas and ship fast POCs → MVPs

Taroko Software is a fast-growing venture studio with roots in Taipei City and a bold vision inspired by Silicon Valley startup culture.

• Design, develop, and deploy AI-driven applications to make our software more accessible.
• Own the software from requirements development through deployment and maintenance.
• Design, build, test, and deploy a scalable system architecture.

Epistemix empowers organizations to make smarter decisions by simulating real-world outcomes using synthetic populations.

• Design, develop, and maintain a robust platform to enable users to create and manage AI agents.
• Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability.
• Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios.

ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

• Drive the development and deployment of advanced AI models and systems that power Abacus products.
• Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions and coding standards.
• Lead critical projects in AI and data engineering, ensuring roadmap delivery and maintaining high quality standards.

Abacus Insights aims to unlock the power of data, enabling health plans to deliver the right care at the right time. Backed by $100M, they foster a bold, curious, and collaborative environment where innovation starts with people working together to make an impact.