Full Stack AI Software Engineer

Company Description

Organizations everywhere struggle under the crushing costs and complexities of "solutions" that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There's another option. Freshworks. With a fresh vision for how the world works.

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks' customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.

Fresh vision. Real impact. Come build it with us.

Job Description

We are looking for a Full Stack AI Engineer to build intelligent, scalable, and user-centric product experiences across our B2B SaaS platform. In this role, you will work across the stack frontend, backend, and AI/ML-powered services to ship features that embed intelligence directly into workflows.

You will have a primary area of strength (frontend or backend) while being comfortable contributing across layers as needed. This role is ideal for engineers who enjoy turning data and models into real product outcomes, not just experiments.

What You’ll Do

• Design, build, and maintain end-to-end product features across frontend, backend, and AI services
• Develop AI-powered capabilities such as recommendations, automation, summarization, classification, or decision support
• Integrate LLMs and ML models into production systems with attention to performance, reliability, and cost
• Build and consume well-designed APIs and services that support scalable AI workflows
• Collaborate closely with Product Managers, Designers, and Data/ML partners to translate business problems into technical solutions
• Ensure high code quality through testing, reviews, and adherence to engineering best practices
• Debug and resolve complex issues across the stack, including data, model behavior, and user experience
• Contribute to improving engineering standards, tooling, and developer experience within the team

Please note: This is a hybrid role that will be based in San Mateo, CA and requires an in-office presence three days per week (Tuesday - Thursday). 

Qualifications

What You’ll Bring

Core Engineering Skills

• 5–8 years of professional software engineering experience
• Strong experience in full stack development, with depth in both:
  • Frontend: React, TypeScript, modern UI frameworks, or
  • Backend: Java, Python, Node.js, REST/gRPC, distributed systems
• Solid understanding of system design, data models, and API contracts
• Experience working with cloud platforms (AWS, GCP, or Azure)

AI / ML Capabilities

• Hands-on experience integrating AI/ML models into production applications
• Practical experience with LLMs (e.g., prompt engineering, RAG patterns, evaluation, cost/performance tradeoffs)
• Familiarity with ML concepts such as embeddings, classification, ranking, or prediction (deep research background not required)
• Experience working with data pipelines, feature stores, or vector databases is a plus
   

Collaboration & Mindset

• Product-oriented mindset focused on user impact, not just technical elegance
• Comfortable operating in ambiguous problem spaces and iterating toward solutions
• Strong communication skills and ability to work effectively in cross-functional teams
• Willingness to learn and adapt as AI technologies and product needs evolve
   

What Success Looks Like

• Independently delivers complex features with minimal supervision
• Owns components or services end-to-end, from design to production support
• Makes sound technical decisions balancing speed, quality, and scalability
• Actively contributes to team discussions, design reviews, and code reviews
• Raises the bar on engineering quality without needing to be a people manager
   

Nice to Have

• Experience in B2B SaaS products with scale (multi-tenant, enterprise, or globa