Source Job

• 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, 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.

• 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.

• 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 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.

• Lead an engineering team delivering high-quality products customers love.
• Drive an AI-first approach across product development and engineering workflows.
• Coach engineers effectively, support career growth, and raise the talent bar by developing and hiring individuals.

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM).

• 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.

• Lead a cross-functional AI product engineering team, owning strategy and execution across multiple Copilot experiences
• Drive technical direction and product evolution for the AI stack, inference backend, user-facing AI products
• Interface closely with the AI Research and Model Training team to align on model capabilities, evaluation methodology, data/training pipelines, and the productionization path for new models and techniques

Cribl is a data engine for IT and Security. Many big names in demanding industries trust Cribl to solve their pressing data needs; they are growing rapidly and collaborative, with curious and motivated team members who are passionate about putting customers first.

• 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.

• Own and execute a strategic roadmap for AI research, messaging, and context capabilities.
• Enhance Apollo's AI research agents to surface actionable insights from the web.
• Define how AI understands each user's business, transforming generic AI outputs into relevant recommendations.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally.

• 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.

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.

• 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 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.

• 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.

• Explore and preprocess raw, messy datasets and design data strategies.
• Prototype model ideas and translate prototypes into production.
• Collaborate with cross-functional teams to turn ideas into impactful features.

Hostinger is shaping the future of online success powered by AI and driven by people with over 4 million clients in 150 countries.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• 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.

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.