Description

Tango is a successful, market leader, a live-streaming Platform with 450+ million registered users, in an industry projected to reach $240 BILLION in the next couple of years.

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energisers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”.

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and, of course, our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?

Responsibilities

• Design and build AI/ML systems from scratch to production
• Develop and maintain infrastructure that supports agentic operations at scale, including context management, evaluations, and orchestration
• Build tools and utilities used by agents
• Build APIs and wrappers for AI models and systems
• Design and build an evaluation, performance, and optimization method for agent accuracy and consistency
• Build and integrate MCP-based systems, agent utilities, and chat APIs
• Implement containerization and orchestration (Docker, Kubernetes)
• Set up monitoring, logging, and alerting for AI/ML systems
• Analyze big and complex datasets
• Use best practices of testing, tracing, and observability for analyzing, debugging, and optimizing AI / ML systems
  
  
  

Requirements

• B.Sc or above in Computer Science, Mathematics, Statistics, or equivalent
• 5+ years of hands-on experience in software engineering, working with AI products or infrastructure
• Proficient and proven experience in Python, async patterns, and multithreading for backend systems, tooling, and AI integration
• Proficient and proven experience in SQL on DWH
• Proven experience working with LLMs, LLM fine-tuning, and AI agents in working systems
• Familiarity with LangGraph, LangSmith, LangChain, Gemini, and Cursor frameworks
• Strong foundations in software engineering, infrastructure, and cloud environments
• Understanding and experience with Docker and containerized development workflows
• Experience with implementing systems that run on the cloud (preferably GCP)
  
  
  

Nice to have

• Understanding of big data technologies (Spark, Kafka, Airflow)
• Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK)
• Webapp development and deployment