Description
Ready to revolutionize telecom with AI? We're not looking for code monkeys—we need AI-native architects who can infuse intelligence into the backbone of telecommunications. If you breathe Python, dream in ontologies, and see LLMs as your power tools, it's time to step up.
At our core, we're redefining telecom operations. Our Ontology platform isn't just AI-enhanced—it's AI-centric. We're constructing knowledge systems that unlock LLM automation across complex, fragmented telecom infrastructure. This isn't about slapping a chatbot on legacy systems. It's about embedding semantic intelligence into the very DNA of network operations, provisioning, and customer experience.
This role demands more than AI enthusiasm or full-stack prowess. You'll be crafting proof-of-concepts that showcase the future of enterprise operations—automated, rapid, and scalable. Your code will bridge the gap between abstract AI potential and concrete telecom solutions, turning manual processes into self-optimizing, transparent, decision-making engines.
What you will be doing
- Architect and deliver AI-driven proof-of-concepts that demonstrate Ontology AI's problem-solving capabilities in telecom environments. You'll teach AI systems to comprehend and navigate the intricate structure of telecommunications data, systems, and workflows.
- Develop core platform modules that empower AI to map semantic relationships across telecom data, interpret complex instructions, and orchestrate actions across disparate systems.
- Design and deploy sophisticated AI models capable of making intelligent, real-time decisions in critical telecom scenarios, including network operations, service provisioning, and customer experience management.
What you will NOT be doing
- Engaging in traditional software development that lacks AI integration or innovative problem-solving.
- Creating basic APIs or standard telecom software without leveraging cutting-edge AI capabilities.
- Implementing AI as a superficial add-on without meaningful impact on telecom efficiency and operations.
- Maintaining legacy systems or performing routine coding tasks that don't push the boundaries of AI in telecom.
- Working on projects that don't directly contribute to revolutionizing telecom operations through AI innovation.
Key responsibilities
Build transformative AI systems that enhance our technical credibility, accelerate sales cycles, and pave the way for deep platform integration, ultimately reshaping the future of telecom operations.
Candidate requirements
- Minimum 3 years of proven experience in advanced software engineering or architecture roles
- Mastery of Python, with a portfolio demonstrating complex, AI-driven projects
- Extensive experience in DevOps automation, with expert-level Kubernetes and AWS skills
- Proven track record in telecommunications system integration and automation of telco-specific workflows
- Proficiency in leveraging AI tools like Cursor and LLM copilots for rapid, innovative prototyping
- Comprehensive understanding of vector databases and Retrieval-Augmented Generation (RAG) techniques, with practical application experience
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.
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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.
