Description
<p>Ready to revolutionize telecom with AI that actually thinks? We're seeking a visionary Full Stack Engineer who lives and breathes at the intersection of AI and telecommunications. This isn't about building another chatbot—it's about architecting the future of intelligent network operations.</p>
<p>At our core, we're transforming telecom operations through our groundbreaking Ontology platform. We're crafting sophisticated knowledge systems that enable true AI automation across complex telecom landscapes. Think less 'AI assistant' and more 'AI backbone.'</p>
<p>If you're the kind of engineer who sees LLMs as powerful tools rather than trendy toys, and you get excited about building systems that make enterprise-scale decisions autonomously, we want to talk to you. We're looking for someone who can translate complex telecom challenges into elegant, AI-powered solutions that scale.</p>
<p>Join our elite team of technical innovators where you'll craft the future of intelligent telecommunications infrastructure. If you're ready to push the boundaries of what's possible with AI in telecom, this is your calling.</p>
What you will be doing
<ul>
<li>Architect and implement cutting-edge AI proof-of-concepts that demonstrate the transformative power of Ontology AI in real telecom environments</li>
<li>Create intelligent platform components that enable seamless semantic understanding and cross-system coordination in telecom infrastructure</li>
<li>Pioneer AI-driven decision-making systems that revolutionize network operations, service delivery, and customer experience management</li>
</ul>
What you will NOT be doing
<ul>
<li>Writing conventional code that doesn't leverage AI capabilities</li>
<li>Creating run-of-the-mill APIs or standard telecom applications</li>
<li>Implementing superficial AI features that don't drive meaningful operational improvements</li>
</ul>
Key responsibilities
<ul>
<li>Spearhead the development of innovative systems that showcase our technical excellence, accelerate client acquisition, and pave the way for comprehensive platform adoption</li>
</ul>
Candidate requirements
<ul>
<li>3+ years of proven software engineering or architecture expertise</li>
<li>Master-level Python programming skills</li>
<li>Demonstrated expertise in DevOps, Kubernetes orchestration, and AWS cloud infrastructure</li>
<li>Solid background in telecom systems integration and workflow automation</li>
<li>Proficiency with AI-enhanced development tools and LLM-powered coding assistants</li>
<li>Expert knowledge of vector databases and retrieval-augmented generation (RAG) methodologies</li>
</ul>
Nice to have
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How it works
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
Frequently asked questions
What you will learn
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Work examples
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Reviews
Meet some people who've landed similar jobs
Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
