Help Us Build the Future of Work.
We’re on a mission to make AI a natural extension of how people work. We’re looking for passionate, innovative thinkers to join us. If you’re excited by complex challenges and want to build technology that makes a real impact, you’re in the right place.
Why You’ll Love Working Here
Solve Meaningful Problems
We tackle some of the toughest challenges in enterprise automation. Your work will directly help people in leading global companies work smarter, not harder.
Innovate on the Cutting Edge
You’ll work with the latest in AI, from Large Language Models to agentic workflows, building the next generation of intelligent automation.
Collaborate with a Great Team
Join a dedicated, international team that values curiosity, transparency, and a shared commitment to excellence.
Current Openings
(Senior) AI Engineer - Hybrid
AI Engineer
Location: Remote (Candidate must be eligible to work in Spain)
Job Level: Semi Senior / Senior
Type: Full-time
Company Background
Join us in building the future of AI-driven enterprise collaboration. At Rollio, we’re transforming how businesses interact with their systems—by making enterprise software feel as natural as having a conversation. Our platform is a human-first interface that enables AI agents to handle complex tasks and coordinate across enterprise applications using natural language.
We’re actively developing our Process Collaboration Agent (PCA) in partnership with Celonis, designed to help teams collaborate more effectively with AI. The PCA acts like a smart teammate connecting stakeholders, surfacing key process insights, and driving action across tools. Under the hood, we use agentic workflows, RAG (retrieval-augmented generation), and deep integration logic to interpret user input, answer complex questions, and automate decisions—so teams can stop searching for answers and start solving problems.
We’re a venture-backed startup based in New York with a remote-first culture. Our team of 10+ is small, fast-moving, and ambitious. Joining now means having a direct impact on our AI capabilities, product architecture, and roadmap. You’ll help shape not just our technology—but the future of intelligent enterprise software. If you’re excited by cutting-edge AI, startup energy, and building things that matter, we’d love to hear from you.
A Day in the Life
In this role, you’ll get to:
- Design, implement, and deploy complex AI systems using LLMs, RAG, and foundation models that enhance our Process Collaboration Agent.
- Collaborate with the rest of the team by writing unit-tested, maintainable code and carrying out code reviews.
- Implement and evaluate LLM applications, designing metrics and processes to continuously improve performance.
- Have an experimental and methodical mindset to developing new features. When writing a white paper before starting the feature, how will you run experiments to prove that your approach is the best? Once we deploy a new feature, how will you test to know that it’s working? How will you gather data to improve performance over time?
- Stay updated with industry trends to incorporate cutting-edge AI techniques and tools into our projects.
What You’ll Bring (Must-Have Skills)
We’ll expect you to have…
- 3+ years of experience working with Python and production-ready applications.
- Strong understanding of Machine Learning concepts and AI applications.
- Experience with LLM APIs providers (OpenAI, Anthropic, etc.).
- Hands-on experience implementing RAG systems and vector databases.
- Knowledge of agentic frameworks and workflows (like LlamaIndex).
- Awareness of the latest AI tools to accelerate development.
- Strong problem-solving skills and the ability to work in a collaborative environment.
- Bachelor or advanced degree in Computer Science, Engineering, AI, or similar area.
- Good written and spoken English.
What Separates the Best (Added Bonuses)
Added bonuses you have…
- Experience with AWS services like Step Functions, DynamoDB, Lambdas.
- Experience with FastAPI or similar frameworks for building high-performance APIs.
- Understanding of distributed systems and how to design scalable AI solutions.
- Experience with observability of LLM applications.
- Understanding of asynchronous programming.
- JavaScript/TypeScript knowledge.
- Experience building and deploying AI systems in production environments.
- Worked with an agile methodology (SCRUM, Kanban).
- Ability to mentor and guide junior team members on AI-related topics.
Our Culture
We have a culture of:
- Communication: We are a distributed team in different time zones so we’ve thought a lot about how we communicate. We write technical white papers before starting work on a major feature to ensure there is agreement on the intended outcomes and to foresee implementation issues. We use Slack and group calls to stay in-sync but we respect ‘Maker Work’ and each other’s productivity.
- Quality: We review each other’s code and are constantly pushing ourselves to improve. We implement Software Engineering best practices to ensure our AI systems are robust, maintainable, and performant.
- Curiosity: We love to try new languages and frameworks. We read and discuss articles about the latest advancements in AI, LLMs, and NLP. We experiment with cutting-edge technologies and encourage innovation.
Our Tech Stack
- Frontend: React + React Native with Typescript
- Backend: Python FastAPI, Node.js Express with Typescript, AWS Step Functions, AWS Lambda
- AI: Python, LlamaIndex, RAG, Qdrant, LiteLLM
- Database: PostgreSQL, Redis, AWS DynamoDB
- Infrastructure: Kubernetes, AWS, Docker
Apply Now
(Senior) AI Engineer - Remote
AI Engineer
Location: Remote (European Union)
Job Level: Semi Senior / Senior
Type: Full-time
Company Background
Join us in building the future of AI-driven enterprise collaboration. At Rollio, we’re transforming how businesses interact with their systems—by making enterprise software feel as natural as having a conversation. Our platform is a human-first interface that enables AI agents to handle complex tasks and coordinate across enterprise applications using natural language.
We’re actively developing our Process Collaboration Agent (PCA) in partnership with Celonis, designed to help teams collaborate more effectively with AI. The PCA acts like a smart teammate connecting stakeholders, surfacing key process insights, and driving action across tools. Under the hood, we use agentic workflows, RAG (retrieval-augmented generation), and deep integration logic to interpret user input, answer complex questions, and automate decisions—so teams can stop searching for answers and start solving problems.
We’re a venture-backed startup based in New York with a remote-first culture. Our team of 10+ is small, fast-moving, and ambitious. Joining now means having a direct impact on our AI capabilities, product architecture, and roadmap. You’ll help shape not just our technology—but the future of intelligent enterprise software. If you’re excited by cutting-edge AI, startup energy, and building things that matter, we’d love to hear from you.
A Day in the Life
In this role, you’ll get to:
- Design, implement, and deploy complex AI systems using LLMs, RAG, and foundation models that enhance our Process Collaboration Agent.
- Collaborate with the rest of the team by writing unit-tested, maintainable code and carrying out code reviews.
- Implement and evaluate LLM applications, designing metrics and processes to continuously improve performance.
- Have an experimental and methodical mindset to developing new features. When writing a white paper before starting the feature, how will you run experiments to prove that your approach is the best? Once we deploy a new feature, how will you test to know that it’s working? How will you gather data to improve performance over time?
- Stay updated with industry trends to incorporate cutting-edge AI techniques and tools into our projects.
What You’ll Bring (Must-Have Skills)
We’ll expect you to have…
- 3+ years of experience working with Python and production-ready applications.
- Strong understanding of Machine Learning concepts and AI applications.
- Experience with LLM APIs providers (OpenAI, Anthropic, etc.).
- Hands-on experience implementing RAG systems and vector databases.
- Knowledge of agentic frameworks and workflows (like LlamaIndex).
- Awareness of the latest AI tools to accelerate development.
- Strong problem-solving skills and the ability to work in a collaborative environment.
- Bachelor or advanced degree in Computer Science, Engineering, AI, or similar area.
- Good written and spoken English.
What Separates the Best (Added Bonuses)
Added bonuses you have…
- Experience with AWS services like Step Functions, DynamoDB, Lambdas.
- Experience with FastAPI or similar frameworks for building high-performance APIs.
- Understanding of distributed systems and how to design scalable AI solutions.
- Experience with observability of LLM applications.
- Understanding of asynchronous programming.
- JavaScript/TypeScript knowledge.
- Experience building and deploying AI systems in production environments.
- Worked with an agile methodology (SCRUM, Kanban).
- Ability to mentor and guide junior team members on AI-related topics.
Our Culture
We have a culture of:
- Communication: We are a distributed team in different time zones so we’ve thought a lot about how we communicate. We write technical white papers before starting work on a major feature to ensure there is agreement on the intended outcomes and to foresee implementation issues. We use Slack and group calls to stay in-sync but we respect ‘Maker Work’ and each other’s productivity.
- Quality: We review each other’s code and are constantly pushing ourselves to improve. We implement Software Engineering best practices to ensure our AI systems are robust, maintainable, and performant.
- Curiosity: We love to try new languages and frameworks. We read and discuss articles about the latest advancements in AI, LLMs, and NLP. We experiment with cutting-edge technologies and encourage innovation.
Our Tech Stack
- Frontend: React + React Native with Typescript
- Backend: Python FastAPI, Node.js Express with Typescript, AWS Step Functions, AWS Lambda
- AI: Python, LlamaIndex, RAG, Qdrant, LiteLLM
- Database: PostgreSQL, Redis, AWS DynamoDB
- Infrastructure: Kubernetes, AWS, Docker
Apply Now
(Senior) Data Engineer - Remote
Data Engineer
Location: Remote
Job Level: Junior / Mid-Level
Type: Full-time
Company Background
Join us in building the future of AI-driven enterprise collaboration. At Rollio, we’re transforming how businesses interact with their systems—by making enterprise software feel as natural as having a conversation. Our platform is a human-first interface that enables AI agents to handle complex tasks and coordinate across enterprise applications using natural language.
We’re actively developing our Process Collaboration Agent (PCA) in partnership with Celonis, designed to help teams collaborate more effectively with AI. The PCA acts like a smart teammate connecting stakeholders, surfacing key process insights, and driving action across tools. Under the hood, we use agentic workflows, RAG (retrieval-augmented generation), and deep integration logic to interpret user input, answer complex questions, and automate decisions—so teams can stop searching for answers and start solving problems.
We’re a venture-backed startup based in New York with a remote-first culture. Our team of 10+ is small, fast-moving, and ambitious. Joining now means having a direct impact on our AI capabilities, product architecture, and roadmap. You’ll help shape not just our technology—but the future of intelligent enterprise software. If you’re excited by cutting-edge AI, startup energy, and building things that matter, we’d love to hear from you.
A Day in the Life
In this role, you’ll get to:
- Design, build, and maintain scalable and reliable data pipelines and infrastructure.
- Develop data models and schemas for our core databases, including PostgreSQL and AWS DynamoDB.
- Ensure data quality, integrity, and accessibility for our AI and backend teams.
- Collaborate with AI Engineers to provide the clean, structured data needed to train and run our RAG and agentic workflow systems.
- Optimize data storage and retrieval processes for performance, working with technologies like Redis and Kubernetes.
- Implement robust data monitoring and logging solutions to ensure system health and performance.
What You’ll Bring (Must-Have Skills)
We’ll expect you to have…
- 3+ years of experience as a Data Engineer, with a focus on building production-grade data systems.
- Strong proficiency in Python.
- Hands-on experience with relational databases (like PostgreSQL) and NoSQL databases (like AWS DynamoDB).
- Experience in designing and implementing ETL/ELT pipelines.
- Familiarity with data warehousing concepts and technologies.
- Knowledge of cloud infrastructure, preferably AWS.
- Bachelor or advanced degree in Computer Science, Engineering, AI, or similar area.
- Good written and spoken English.
What Separates the Best (Added Bonuses)
Added bonuses you have…
- Experience with containerization and orchestration using Docker and Kubernetes.
- Knowledge of infrastructure-as-code (e.g., Terraform, AWS CDK).
- Experience with in-memory data stores like Redis.
- Familiarity with data streaming technologies (e.g., Kafka, AWS Kinesis).
- Experience working in a fast-paced startup environment.
- Worked with an agile methodology (SCRUM, Kanban).
- An interest in the MLOps/LLMOps space.
Our Culture
We have a culture of:
- Communication: We are a distributed team in different time zones so we’ve thought a lot about how we communicate. We write technical white papers before starting work on a major feature to ensure there is agreement on the intended outcomes and to foresee implementation issues. We use Slack and group calls to stay in-sync but we respect ‘Maker Work’ and each other’s productivity.
- Quality: We review each other’s code and are constantly pushing ourselves to improve. We implement Software Engineering best practices to ensure our AI systems are robust, maintainable, and performant.
- Curiosity: We love to try new languages and frameworks. We read and discuss articles about the latest advancements in AI, LLMs, and NLP. We experiment with cutting-edge technologies and encourage innovation.
Our Tech Stack
- Frontend: React + React Native with Typescript
- Backend: Python FastAPI, Node.js Express with Typescript, AWS Step Functions, AWS Lambda
- AI: Python, LlamaIndex, RAG, Qdrant, LiteLLM
- Database: PostgreSQL, Redis, AWS DynamoDB
- Infrastructure: Kubernetes, AWS, Docker
Apply Now
Don’t see the right fit?
We’re always interested in connecting with talented people. Send us your resume and a note about why you want to work at Rollio.
OUR OFFICE
Headquarters, Brooklyn NY
41 Flatbush Ave, Ste232, Brooklyn NY, 11217
hello@rollio.ai
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