Source Job

• 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.

• 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.

Lead and mentor a team of AI engineers, providing coaching and performance feedback. Oversee the delivery of AI-powered product features, from prototypes to scalable production systems. Collaborate with Product, Design, and Data teams to ensure AI solutions are impactful and aligned with business goals.

Hostinger is shaping the future of online success powered by AI and driven by people, providing tools that help individuals and small businesses succeed online faster and easier.

• 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.

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.

• 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.

• 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 the design, development, and deployment of enterprise-scale data and AI solutions.
• Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
• Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

• 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.

• 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.

• 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.

• Design, develop, and deploy AI-driven applications and services.
• Build and integrate LLM-based solutions using frameworks such as LangChain.
• Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.

CI&T are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

• 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.

Lead the architecture, design, and implementation of enterprise-grade Agentic AI solutions. Create modular, interoperable, and future-ready AI architectures that integrate seamlessly with existing enterprise systems. Establish architectural standards, design patterns, and reusable components for AI/ML workloads.

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses.

• Partner with the Senior Product Manager to translate AI product strategy into a clear technical roadmap.
• Design, implement, and maintain backend services and APIs that power AI-enabled features for customers and internal users.
• Mentor and level up engineers in AI/ML best practices, distributed systems design, and platform thinking.

Binance.US is America’s home to buy, trade, and earn digital assets and is a licensed and regulated U.S. crypto platform.

• 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.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• 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!

• Design, develop, and deploy production-grade machine learning solutions.
• Work on complex ML problems and mentor junior engineers.
• Contribute to building ML accelerators and best practices.

Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.