Source Job

• Design complex LLM prompts that accurately represent real customer journeys and service interactions.
• Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
• Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

• 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!

• 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.

• 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.

This role validates Veeva AI Agents through evaluation. You will define strategies for new AI Agents. The role involves analysis of model behaviors to identify defects.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

• 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.

• 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.

• 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.

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.

The AI Engineer develops and deploys agentic AI solutions for clients. Implements components for document processing, workflow automation, data retrieval, and structured output generation. Contributes to monitoring, logging, metrics, and guardrail configurations for agentic systems.

AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery.

• 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.

• 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.

Design and implement agentic architecture, defining context management, data flow, and action orchestration. Build AI variables capable of autonomous action loops to enrich leads and trigger actions. Deliver Copilot v1, initially semi-agentic, with potential for autonomous workflows, while implementing monitoring of all output.

lemlist is a global B2B SaaS business with $43M ARR, fully bootstrapped, profitable, and growing fast, shipping one of the most loved Sales Engagement Platforms worldwide.

• 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.

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Develop and optimize multimodal LLM applications
• Build embedding & similarity search pipelines at planetary scale
• Fine‑tune multimodal foundation models for Earth‑observation tasks

Planet designs, builds, and operates the largest constellation of imaging satellites in history. Planet is both a space company and data company all rolled into one with a people-centric approach toward culture and community striving to iterate to puts its team members first.

This is a player-coach role where you'll architect and build AI-powered engagement systems while developing a high-performing team. You will translate complex ML systems into accessible, scalable solutions that drive member engagement and business growth. You'll have the autonomy to shape our technical strategy and the resources to build a world-class team.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

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.

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, 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.