Collaborate closely with cross-functional teams, including product managers, designers, and data specialists, to deliver high-quality, performant, and maintainable features.
Experiment with and integrate new AI image, video, and voice generation technologies used to bring AI characters to life.
Build tooling and infrastructure around various AI technologies.
Gain exposure to the architecture and operations behind one of the fastest-growing social AI products globally.
Contribute your expertise to help evolve team processes and technical infrastructure, ensuring scalability and reliability.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8-10 years of professional software engineering experience, with expertise in backend and cloud architectures.
Proficiency in Go and AWS (ECS, S3, DynamoDB, SQS); experience with event-driven architectures using Kafka and Redis, and familiarity with MongoDB and PostgreSQL.
Solid understanding of domain-driven design, protobuf/Connect-RPC service patterns, and async pipeline orchestration.
Experience integrating external AI/ML APIs (image generation, video generation, LLM inference, TTS/voice) is a strong plus.
Strong communication skills and a collaborative, team-oriented mindset.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GoAWSECSS3DynamoDBSQSKafkaRedisMongoDBPostgreSQL

Soft Skills

strong communication skillscollaborative mindsetteam-oriented

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceBachelor's degree in EngineeringMaster's degree in Engineering