Source Job

• 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.

• 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.

• Partner with Product Leads across the Crypto.com App to identify opportunities for AI integration.
• Define and drive the strategy for customer-facing AI and data products, balancing long-term innovation with immediate operational wins.
• Work alongside AI/ML researchers to integrate generative AI models (LLMs) into core features.

Crypto.com is the world's fastest growing global cryptocurrency platform, founded in 2016 and serving more than 150 million customers. They are committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs.

• 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.

• 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.

• Design and implement Python services for real-time fraud detection and compliance monitoring.
• Build scalable data pipelines for feature building and model training.
• Develop and operate a developer-friendly ML platform with automated quality checks.

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion.

• Own end-to-end implementation of AI-powered product features, from prototypes to production.
• Mentor other engineers on the team, leveling up the team as a whole.
• Collaborate across the organization to support shipping these features to production.

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do!

• 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.

• Build the shared AI execution platform that powers every AI product.
• Shape the unified architecture, guide tough tradeoffs, and elevate engineering standards.
• Ensure the platform is scalable, safe, cost-efficient, and easy to build on.

Zapier builds a platform to help millions of businesses scale with automation and AI, aiming to make automation work for everyone.

The AI Architect will drive Magna’s AI vision from concept to commercialization. You will design and implement AI systems and lead development teams. You will also partner with executives to identify opportunities, drive adoption, and deliver measurable value.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation.

• Build and scale the AI Agent platform enabling high-volume, real-time conversational workflows.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.

Podium provides a complete platform and outcome-driven AI employees that convert leads into real, paying customers. Recognized by Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies, Podium fosters a culture that thrives on hiring and developing exceptional talent.

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.

• 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.

• Build and refine early-stage AI systems and frameworks.
• Translate complex problems into structured engineering approaches.
• Champion technical excellence and mentorship in AI development.

The AI Innovation Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making.

In this role, you will drive the strategic and technical direction of AI engineering across multiple product lines, shaping how advanced AI capabilities power user-facing automation experiences. You will lead high-impact engineering teams, guiding experimentation, architecture decisions, and end-to-end delivery of AI-driven solutions. Working closely with product, design, and go-to-market teams, you will help define the roadmap, unify core AI initiatives, and turn bold ideas into scalable outcomes.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Designing and building AI-powered features and tooling used by customers and internal teams.
• Owning fullstack solutions that include frontend, backend, and AI components.
• Establishing patterns, guardrails, and examples that other engineers can safely build on.

FlowFuse is a company that builds real product features and internal tooling that apply artificial intelligence to practical user and engineering problems. They foster a remote, async-first environment across multiple time zones where pragmatic use of AI tools is encouraged to accelerate development and improve outcomes.

• Design scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

• 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.

• 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.