Source Job

• Design, optimize, and version prompts for production voice and chat LLM applications.
• Architect and orchestrate multi-agent systems for complex conversations.
• Build automated testing and validation frameworks for LLM outputs.

Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.

• 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.

• 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.

• 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.

• Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
• Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
• Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.

ClickUp is building the future of work by creating a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search. Their AI-powered platform helps teams break free from silos and unlock new levels of productivity.

• Build the core Machine Learning foundations that power Nova’s agentic experiences.
• Design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.
• Develop generalized evaluation frameworks for LLM- and agent-based features.

Iterable is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

• Designing complex, dynamic prompt templates with conditional logic.
• Implementing various response schemes to ensure AI outputs are predictable.
• Building robust evaluation pipelines and using Langfuse to collect feedback.

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries, and our innovative teams are driving the future of consumer-led products.

• Build and maintain an internal LLM gateway that handles routing, fallbacks, and rate limiting
• Create reusable components for common AI patterns (RAG, function calling, streaming responses)
• Develop SDKs or libraries that simplify AI integration for application developers

ButterflyMX empowers people to open and manage doors & gates from a smartphone and their products are installed in multifamily, commercial, and gated communities. As a distributed workforce, they're looking for intelligent, collaborative, and down-to-earth individuals to join their growing team.

• Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
• Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
• Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.

Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).

• Design and deliver AI-powered advisors, assistants, and analytic agents.
• Build and maintain high-quality, production-ready Python services.
• Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.

Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.

• Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
• Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
• Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.

Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.

• Partner with stakeholders to identify and prioritize opportunities for AI and automation.
• Design, develop, and deploy AI and automation systems that drive measurable business impact.
• Build and maintain scalable infrastructure, including front-end interfaces and back-end services.

Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.

• 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, develop, and deploy agentic AI solutions for clients.
• Build multi-agent systems and integrate models with enterprise systems.
• Collaborate with clients and engineers to create scalable solutions.

AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises deliver on digital transformation. They prioritize creating a culture of belonging where all perspectives are valued and heard.

• Design, refine, and evaluate prompts, context, and system instructions for various product use cases
• Conduct experiments to assess model behavior, accuracy, and cost impact with new or existing prompts
• Continuously improve prompt engineering processes by adopting new techniques and technologies

Applied Systems transforms the insurance industry. They have 40+ years of experience and are building a team ready to learn and deliver innovative software and services.

• Designing, developing, and deploying generative AI models.
• Architecting and building agentic systems with autonomous decision-making capabilities.
• Integrating generative AI and agentic solutions into existing products and services.

Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.

• Advance GenAI Modeling with Knowledge Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
• Prototype & Experiment Rapidly Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
• Provide Technical Leadership Provide technical mentorship to team members.

At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.

• You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates.
• You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights.
• You can build tooling to support model training, evaluation, inference serving, monitoring and alerting.

Vanilla is an AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our team is distributed across the U.S., with a mix of fully remote and hybrid roles, and embraces flexibility while staying closely connected.

Build resilient AI Agents using LangGraph and microservices. Develop complex automation workflows in n8n. Collaborate with Internal Business Analysts to focus on coding, not guessing requirements.

At Gcore, you’ll help design and deliver that foundation for an AI-driven world, being a global provider of infrastructure and software solutions for AI, cloud, network, and security.

• 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.