We are a global OSINT company headquartered in the US, empowering investigators and security professionals with cutting-edge AI-powered products. Our technology collects and analyzes massive volumes of data from open sources, including social media, messengers, and the dark web, to create a comprehensive picture for data-driven investigations and decision-making.

Our customers include S&P 500 companies and law enforcement agencies in 80+ countries worldwide. Social Links is scaling rapidly, growing 2x annually, with the ambition of becoming a unicorn valued at $1B+.

We are looking for a hands-on Senior QA Engineer building test infrastructure and evaluation frameworks from scratch for a distributed AI platform. Primary focus: testing non-deterministic AI agent outputs, RAG pipeline quality, multi-tenant data isolation, and cross-service integration.

Your Tasks Will Be:

• Build and maintain AI evaluation framework
• Test RAG pipeline quality and retrieval relevance
• Design testing approaches for non-deterministic LLM outputs
• Build multi-tenant isolation test suite, including AI layer isolation
• Write cross-service integration and contract tests
• Test Temporal workflows, event-driven flows, and YAML DSL validation
• Build and maintain automated regression suites

Our Ideal Candidate Has:

• 3+ years in QA automation / SDET
• Hands-on experience testing AI/ML systems
• Strong Python (pytest, async testing)
• Experience building test infrastructure from scratch
• Experience testing distributed or event-driven systems
• Experience testing multi-tenant applications
• Autonomous work style
• English – B1 level or higher

Nice To Haves:

• RAG / vector search quality evaluation
• LangGraph, LangChain, or similar agent frameworks
• Go test automation
• BentoML / MLflow or equivalent MLOps tooling
• Security testing: prompt injection, context leakage
• Performance / load testing for ML inference endpoints
• Data pipeline testing (Delta Lake, Great Expectations, Dagster)
• Russian – advanced level or higher

What We Offer:

• Remote-first setup: work from anywhere in the world (except Russia and Belarus)
• Work on a greenfield, technically challenging product (distributed system at scale)
• Direct collaboration with senior technical stakeholders (engineering leadership, product)
• Ownership and impact: influence QA strategy, tooling, and quality gates from the early stage of the product
• Fast iteration environment: work closely with engineering to improve reliability and release confidence

We are an equal-opportunity employer and are committed to fostering a diverse and inclusive environment for all candidates.