Senior AI Engineer

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

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