Senior AI Engineer (AIMS Martek)
Role overview
Our mission at HubSpot is to help millions of organizations grow better. AI is central to that mission—and on the AIMS (AI Marketing Solutions) team, you'll help shape how Generative AI powers HubSpot's next chapter of growth.
As a Senior AI Engineer, you'll operate at the intersection of AI, engineering, and product strategy. You'll partner with marketers and leaders to turn ambitious ideas into scalable AI solutions, while bringing clarity to complex technical decisions. This role blends hands-on development with technical leadership—building production-grade systems and influencing how AI is applied across the business.
Responsibilities
- check_circle Design and deploy scalable, cloud-based architectures for AI-driven marketing applications.
- check_circle Lead AI research and development efforts from early exploration through production delivery.
- check_circle Partner with cross-functional stakeholders to translate business needs into testable AI solutions.
- check_circle Build and optimize data pipelines, retrieval systems (RAG), vector databases, and multi-agent workflows.
- check_circle Develop and maintain backend services and RESTful APIs using Java, Node.js, or Python.
- check_circle Own end-to-end solution design, including prototyping, testing, training, and support processes.
- check_circle Evaluate and prioritize AI initiatives based on feasibility, scalability, and business impact.
- check_circle Communicate technical concepts and strategic recommendations clearly to senior stakeholders.
- check_circle Document system architecture and best practices to ensure long-term scalability and maintainability.
- check_circle Mentor team members and guide adoption of emerging AI technologies.
Basic qualifications
- 5+ years of professional software development experience or equivalent hands-on experience.
- 2+ years applying Generative AI technologies (LLMs, prompt engineering, RAG, multi-agent systems) in production environments.
- Experience with marketing technology ecosystems (e.g., CRMs, CDPs, workflow automation tools, or data warehouses).
- Strong experience building and consuming REST APIs and designing scalable backend systems.
- Working knowledge of cloud platforms such as AWS, GCP, or Azure.
- Experience with version control systems (Git) and modern development workflows.
- Strong communication skills with the ability to explain technical concepts to diverse audiences.
- Experience implementing testing strategies, including unit and end-to-end testing.
Preferred qualifications
- Experience mentoring or guiding other engineers.
- Familiarity with AI frameworks and tools (e.g., OpenAI APIs, LangChain, agent frameworks).
- Experience supporting or working within a marketing organization.
- Experience with HubSpot or similar marketing automation platforms.
- Background in Java development.
- Demonstrated curiosity and continuous learning mindset in emerging AI technologies.
- Location: United States
- Work location preference eligibility: Remote
- Travel/Shift: None
- Applications must be submitted by: Friday, May 15th at 12pm ET
- Applications must be submitted in: English
- Cover letters: Optional
About the company
- check_circle HubSpot Careers
- check_circle Life at HubSpot on Instagram
Tags & Focus Areas
About HubSpot
Note: The job is a remote job and is open to candidates in USA. HubSpot is an AI-powered customer platform that focuses on connecting marketing, sales, and service. The Engineering Lead for Machine Learning will lead and mentor teams in building scalable AI systems, drive technical strategy for AI model development, and foster collaboration between ML and Software Engineers.