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 Tech lead/Staff 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.

What You’ll Do

Spearhead the technical vision and strategy for building a scalable Gen AI-powered bot development platform.
Architect, design, and drive the development of complex distributed systems for real-time AI interactions, workflow orchestration, and API integrations.
Provide technical guidance to a team of backend, frontend, and AI engineers, fostering a culture of collaboration, innovation, and excellence.
Establish, uphold and improve best engineering practices, including high-quality code standards, testing strategies, and CI/CD workflows.
Work closely with AI/ML engineers to integrate LLMs and NLP models into the platform efficiently.
Guide decisions on scalability, performance, security, and fault tolerance in a high-traffic environment.
Lead efforts on observability, monitoring, and debugging complex production issues.
Mentor and coach fellow engineers, helping them grow technically and professionally.
Collaborate with product managers, designers, and stakeholders to translate business requirements into scalable engineering solutions.
Stay ahead of industry trends and drive continuous improvements in technology choices and architecture.

What We Look For

8+ years of hands-on software engineering experience, with a deep understanding of distributed systems and scalable architectures.
Strong expertise in backend development using Node.js, Typescript and Golang as a plus.
Proven experience in leading technical teams and mentoring engineers.
Deep understanding of microservices architecture, event-driven systems, and workflow orchestration (e.g., Temporal.io).
Strong database expertise, with experience in MongoDB, Cassandra, PostgreSQL, or other distributed databases.
Love of learning and sharing knowledge.
Experience designing and deploying highly available, low-latency, fault-tolerant systems.
Knowledge of cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
Strong problem-solving, debugging, and analytical skills, with a pragmatic approach to technical decision-making.
Excellent communication and leadership skills, with the ability to collaborate effectively across teams.

Nice to Have

Experience with AI-driven applications, NLP, or integrating Large Language Models (LLMs) is a plus.
Hands-on experience working with LLM fine-tuning, prompt engineering, or AI safety.
Experience with real-time messaging systems (WebSockets, Kafka, RabbitMQ).
Frontend architecture experience using React and TypeScript.
Contributions to open-source projects or active participation in the tech community.