AI Agent & Full-Stack Engineer

The AI Agent & Full-Stack Engineer at Wati will be responsible for building and enhancing our AI Agent framework, integrating it with existing products, and developing full-stack applications. Your role will involve deploying AI Agents into various business scenarios while ensuring optimal performance and scalability based on user feedback and metrics.

To qualify for the AI Agent & Full-Stack Engineer position at Wati, candidates should possess a Bachelor’s degree or higher in Computer Science or related fields and 1000+ hours of hands-on experience with LLMOps platforms like Dify or Coze. Solid full-stack development skills in Python, Node.js, React, or Next.js are essential, alongside familiarity with AI Agent development concepts.

As an AI Agent & Full-Stack Engineer at Wati, you should be proficient in backend technologies such as Python, Node.js, or Java, and frontend technologies like React or Next.js. Familiarity with AI frameworks, APIs, and cloud platforms like AWS or GCP will also be beneficial.

Wati offers a unique opportunity to work directly on impactful AI Agent products rather than just demos. You'll be exposed to cutting-edge AI technologies in a fast-paced environment that encourages collaboration. Plus, the chance to build and scale AI-powered products from the ground up is an exciting aspect of our culture.

Wati boasts an open and collaborative team culture, encouraging innovation and growth. As a remote-first company, we prioritize inclusivity and adaptability. You will find yourself in a supportive environment where your ideas are valued and your professional development is fostered.

In your response, highlight specific LLMOps platforms you've used, detailing the projects where you successfully integrated AI capabilities and how they contributed to business solutions. Focus on impact and lessons learned to show your depth of knowledge.

You should discuss key considerations like choosing the right APIs, ensuring efficient data flow, and the importance of user feedback in refining the integration. Mention any specific architectures or technologies you would use to enhance scalability.

Share compelling examples of full-stack projects, emphasizing your role in both backend and frontend development. Highlight technologies used, challenges faced, and how superior coding practices led to successful outcomes.

Here, provide a specific example of troubleshooting, detailing the problem, your analytical process, and the solution implemented. Focus on your problem-solving skills and the impact of your solution.

Discuss practices such as continuous monitoring using metrics, performance testing, and user feedback loops. Emphasize the importance of iterative improvements and how they fit within the software development lifecycle.

Provide a concise yet comprehensive explanation of how Decision Trees or State Machines work in AI, their applications, and any hands-on experience you have with them in your projects.

Talk about tools and methodologies you've used for collaboration, such as Agile practices, regular check-ins, and utilizing version control like Git. Emphasize your collaborative approach and its impact on the project outcomes.

Choose a specific API integration challenge you've encountered. Describe the obstacle, the steps you took to resolve it, and the result. Highlight your technical skills and creative problem-solving abilities.

Sketch out your experience with cloud platforms, discussing specific projects where cloud solutions enhanced performance, scalability, or efficiency. Mention any certifications or specialized training you've pursued.

Share how you incorporate continuous learning into your routine, mentioning specific resources like blogs, online courses,Meetups, or conferences. Explain how this knowledge benefits your work and contributes to innovative solutions.