Mid-level Fullstack Developer

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.  adds a layer of intentional intelligence on top of that, to build smarter, safer conversational experiences, faster.   

As a Mid-level Fullstack Developer at Sinch, you will play a key role in designing, developing, and maintaining AI and Data Science applications, including Large Language Models (LLMs), to drive innovation. Your primary focus will be on Smart Conversations, a suite of add-on features for the Conversation API that processes incoming messages through Sinch’s proprietary Machine Learning (ML) engine, extracting and analyzing valuable insights. As a technical reference, you will be responsible for supporting the ML API engine, troubleshooting customer-reported issues, identifying areas for improvement, developing tests, ensuring high-quality documentation, and contributing to the product’s evolution. Additionally, you will be part of a dynamic and cross-functional team, collaborating on the design, training, refinement, and deployment of machine learning and deep learning models. You will also play a crucial role in facilitating communication between the business and engineering teams, ensuring alignment on product fixes, feature improvements, prioritization, and progress updates. 

You will work on the Corporate AI team at Sinch, which is responsible for helping Sinch accelerate and expand company-wide adoption of AI technologies, by consolidating resources, establishing best practices, fostering knowledge-sharing, ensuring ethical and compliant AI practices, and mitigating associated risks. 

Our tech stack: Python, FastAPI, Typescript, React, Docker, Kubernetes, GitLab, GCP, AWS, Databricks, PyTorch, MLFlow, OpenSearch, LangChain, OpenAI LLMs, Gemini LLMs, Open-Source LLMs like LLama. 

Responsibilities

• Act as a technical reference for the ML API engine, providing support, troubleshooting issues reported by customers, and identifying opportunities for improvement. 

• Develop, test, and maintain high-quality code to ensure the reliability and scalability of AI-powered features. 

• Create and maintain comprehensive documentation to support internal teams and external users. 

• Deploying ML models in the cloud infrastructure 

• Work closely with cross-functional teams including business and engineering teams 

• Participate in code reviews and provide constructive feedback to peers 

• Bridge the gap between the business and engineering teams, ensuring effective communication regarding product fixes, feature improvements, prioritization, and progress updates. 

• You are an AI enthusiast who keeps up with the latest trends in AI and ML, and loves to use these new technologies to solve real-world problems 

• You love teaching others and sharing knowledge internally and externally via workshops, summits, conferences, blog posts, etc 

• You have at least two years of experience in fullstack development, with a strong background in backend development using Python RESTful APIs and gRPC, as well as proficiency in frontend technologies, particularly modern JavaScript frameworks like TypeScript 

• You have a strong understanding of CI/CD pipelines and automation tools 

• You have a proactive mindset, with a passion for problem-solving and continuous improvement 

• You have excellent communication skills to effectively collaborate with technical and non-technical stakeholders. 

• You have experience working with clouds (GCP, AWS, and Databricks) 

• You are proficient in Python and Javascript, embracing good code practices 

• You are familiar with Docker and Kubernetes 

• You are autonomous within a collaborative environment 

• You are fluent in English