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Senior Software Engineer - Conversational AI

Role and Responsibilities

At Sinch, we pioneer the way the world communicates. Our customer communications cloud empowers businesses to reach everyone in world, in seconds or less, through mobile messaging, email, voice and video. We reach every phone on the planet 7 times a year and 8 out of 10 largest US tech companies are our customers. Sinch AI adds a layer of intentional intelligence on top of that, to build smarter, safer conversational experiences, faster. 

As a Software Engineer on the Conversational AI team, you will play a crucial role in shaping the future of conversational experiences in Sinch Chatlayer, Sinch Engage, and Sinch MessageMedia. You will collaborate with a talented team to design, develop, and deploy cutting-edge conversational AI solutions that empower businesses to communicate more effectively with their customers.

* please apply your resume in English.

Key Responsibilities:

  • Design and Development: Architect, design, and implement high-performance, scalable software solutions for conversational AI applications.
  • Collaboration: Work closely with cross-functional teams including product managers, designers, and other engineers to deliver robust and reliable software.
  • Innovation: Contribute to the continuous improvement of our technology stack, adopting new technologies and best practices to enhance the capabilities of our products.
  • Maintenance and Support: Participate in code reviews, testing, and troubleshooting to ensure the quality and reliability of the software.
  • Scalability: Ensure the software can scale to meet the demands of our global customer base.
  • Documentation: Write and maintain clear, concise documentation for the software and its interfaces.

Tech stack: Golang, Typescript, Node JS, Kafka, Redis, RabbitMQ, MongoDB, Postgres, Click House, Kubernetes, Google Cloud, React.

In order to contribute to this role, you have:

  • Experience working across multiple technology stacks using different programming paradigms.
  • Experience working in a customer focused environment, ideally within a SaaS or subscription business.
  • Experience in the High-Level languages Go and Node.JS.
  • Expertise in modern front-end frameworks such as React.
  • Consistent track record working with Typescript in a professional or open-source setting.
  • Ability to work effectively in a collaborative team environment.
  • Strong verbal and written communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
  • Fluency in English.

Big Plus!

  • Experience building analytics solutions using technology like Click House, Timescale DB, or Apache Flink.
  • Experience with Micro-frontend architectures, web components and the latest Web APIs.
  • Experience with test automation. We use Cypress.
  • Solid understanding of Kubernetes and networking
  • Experience with Kafka streaming

Sinch is a global company composed of people from different countries and cultures. Our benefits adjust regionally to support employees and help them to thrive in every stage of life. We offer valuable benefits and resources, including health and life insurance, a flexible work environment, retirement savings plans, and more.

Our Hiring Process

In Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and equal opportunity. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently works towards identifying the people that best fit each open job, based on Sinch’ s hiring needs and candidates’ career expectations.

We encourage applications from strong candidates with relevant professional backgrounds for this role. Not all applicants will meet all job requirements exactly! Don't let that stop you from considering Sinch for the next step in your career. We are always open to candidates that could bring new insights and perspectives to Sinch!

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Average salary estimate

$130000 / YEARLY (est.)
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$100000K
$160000K

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What You Should Know About Senior Software Engineer - Conversational AI, Sinch

If you're a Senior Software Engineer with a passion for Conversational AI and looking for an exciting opportunity, look no further than Sinch! Here at Sinch, we lead the charge in transforming the way the world communicates through our innovative customer communications cloud. You’d be part of a team that empowers businesses to reach their customers effectively via mobile messaging, email, voice, and video, making significant impacts on how conversations unfold. Your role would involve architecting and implementing high-performance conversational AI applications that not only meet the needs of our global customer base but also sets the stage for groundbreaking advancements in the industry. Imagine collaborating with a diverse group of product managers, designers, and engineers as you work together to craft solutions that make communication smarter and safer. Plus, you’ll be encouraged to innovate by adopting new technologies and best practices. And if you’re looking for a workplace that values flexibility and a global perspective, Sinch offers an environment that celebrates diversity, supports employee well-being, and remains committed to professional growth. If you thrive in collaborative settings and are excited about adding significant value to cutting-edge projects, we want to hear from you. Join us, and let's redefine the communicative landscape together!

Frequently Asked Questions (FAQs) for Senior Software Engineer - Conversational AI Role at Sinch
What are the primary responsibilities of a Senior Software Engineer - Conversational AI at Sinch?

The Senior Software Engineer - Conversational AI at Sinch is responsible for designing, developing, and deploying scalable software solutions focused on enhancing conversational experiences. This includes collaborating with cross-functional teams, contributing to technology improvements, maintaining software quality through code reviews and testing, and ensuring reliability and scalability in a high-demand environment.

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What qualifications are necessary for a Senior Software Engineer - Conversational AI role at Sinch?

To qualify for the Senior Software Engineer - Conversational AI position at Sinch, candidates should have experience across multiple technology stacks, particularly in Go and Node.js. Proficiency with modern frameworks such as React, a strong command of Typescript, and effective collaboration skills are also essential. Knowledge of cloud technologies, Kubernetes, and analytics solutions will give candidates an added advantage.

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What technologies are commonly used by the Senior Software Engineer - Conversational AI team at Sinch?

The Senior Software Engineer - Conversational AI at Sinch typically works with a tech stack that includes Golang, Typescript, Node.js, Kafka, Redis, RabbitMQ, and various databases such as MongoDB and Postgres. Familiarity with cloud platforms like Google Cloud and container orchestration tools such as Kubernetes is also beneficial for this role.

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Can you describe the work culture for Senior Software Engineers at Sinch?

At Sinch, the work culture for Senior Software Engineers revolves around collaboration, innovation, and support. The company fosters an inclusive environment where diverse perspectives are welcomed and encouraged. Employees are empowered to contribute to their teams actively while also benefiting from flexible working conditions and a strong emphasis on employee well-being.

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What benefits can a Senior Software Engineer at Sinch expect?

Sinch offers a comprehensive range of benefits for its Senior Software Engineers, including health and life insurance, retirement savings plans, and the opportunity to work in a flexible environment. Additionally, Sinch emphasizes continual professional development to help employees thrive throughout their careers.

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Common Interview Questions for Senior Software Engineer - Conversational AI
Can you describe your experience with designing conversational AI applications?

When answering this question, highlight specific projects where you designed conversational AI solutions, discussing the technologies used, the challenges faced, and how your contributions led to successful outcomes.

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How do you ensure the quality and reliability of your software?

It’s important to explain your approach to code reviews, unit testing, and other methodologies you use to maintain software quality. Discuss how your practices contribute to reducing bugs and enhancing reliability.

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What strategies do you use when collaborating with cross-functional teams?

Consider discussing your communication styles, how you set shared goals, or tools and practices you employ to foster effective teamwork across departments, especially when working on complex projects.

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Describe a time you innovated using new technology in a project.

Provide a real example where you adopted a new technology—what it was, how you implemented it, any obstacles you faced, and the end results. Highlighting your proactive approach to learning is key.

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How do you prioritize features when working on multiple projects?

Discuss your organizational skills and methodologies, such as Agile or Scrum practices, that assist you in prioritizing projects to ensure functionality aligns with customer needs and deadlines.

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What experiences do you have with Kubernetes or other container orchestration tools?

Discuss your practical experience — if you’ve deployed applications using Kubernetes, describe the process and any challenges you faced. Demonstrating hands-on knowledge can strengthen your position.

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What’s your approach to writing clear documentation?

Emphasize the importance of clarity, conciseness, and accessibility in technical documentation. Share your personal strategies for ensuring that documentation serves both technical and non-technical stakeholders.

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How do you keep updated with the latest advancements in AI and software engineering?

Mention any specific resources, courses, or communities you follow. Showing a commitment to continual learning in the rapidly evolving field of AI can be very appealing to interviewers.

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Have you ever faced a critical bug in production? How did you handle it?

Provide a clear example where you addressed a critical bug, discussing your debugging process, collaborative efforts, and how you communicated with stakeholders during the resolution.

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What motivates you about working in the realm of Conversational AI?

Discuss your passion for technology and the ways you see Conversational AI transforming communication. Tying personal motivations with the company's mission can showcase a strong cultural fit.

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Simplify life by bringing people and businesses together.

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Full-time, remote
DATE POSTED
March 19, 2025

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