Senior Software Engineer Full-stack With AI ML

Job Type

Full-time

Description

About Birdeye

Birdeye is the leading agentic marketing platform for multi-location brands.

Companies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations — from how they get found, to how they convert, to how they retain customers. Our platform replaces disconnected point tools with AI agents that execute work at the location level — responding to reviews, updating listings, publishing content, and driving conversions.

Backed by Marc Benioff, Jerry Yang, and Accel-KKR, Birdeye was named to G2’s 2026 Best Agentic AI Products list — appearing alongside the world’s leading AI companies. We’re expanding rapidly into enterprise, with growing adoption across large, multi-location brands.

About The Role

We are looking for a Full Stack Engineer with 4-6 years of experience who can build scalable backend systems, intuitive frontend experiences, and leverage AI/ML capabilities to deliver intelligent, high-impact products. You will work closely with product, design, and data teams to build features used at scale by thousands of businesses.

What You’ll Do

• Design, build, and scale backend services and APIs for high-traffic applications
• Develop responsive, user-friendly frontend interfaces with a strong focus on performance and UX
• Integrate and apply AI/ML models (LLMs, search, recommendations, automation, analytics) into product workflows
• Own features end-to-end—from design and development to deployment and monitoring
• Collaborate with Product, Data, and Platform teams to solve real customer problems
• Write clean, maintainable code and actively contribute to code reviews and technical design discussions
  
  
  

• Strong experience in backend development (e.g., Java, Python, or similar)
• Hands-on experience with frontend frameworks (React or equivalent)
• Working knowledge of AI/ML concepts and experience integrating AI services or models (LLMs, APIs, embeddings, etc.)
• Solid understanding of databases, APIs, cloud infrastructure, and system design
• Ability to think end-to-end and balance speed, quality, and scalability
• Strong problem-solving skills and a product-oriented mindset
  
  
  

• Experience with AI platforms (OpenAI, Vertex, AWS Bedrock, etc.)
• Exposure to microservices, event-driven systems, or data pipelines
• Prior experience building SaaS products at scale
  
  
  

• Build products that directly impact how businesses grow and engage customers
• Work on AI-powered, data-driven platforms at scale
• High ownership, fast-moving teams, and meaningful technical challenges