Description
Step into the future of telecom with us, where your AI expertise isn't just an add-on but the core driver of innovation. If you're passionate about crafting intelligent systems, adept at leveraging LLMs for real-world solutions, and possess a unique blend of telecom insight and Python prowess, this opportunity is tailored for you.
We are transforming the telecom landscape with our AI-centered Ontology platform. By creating structured knowledge systems, we aim to revolutionize LLM automation within complex telecom infrastructures. This role goes beyond superficial chatbot integration; it's about embedding deep semantic intelligence into the heart of network operations, provisioning, and customer experiences, turning traditional processes into adaptive, self-improving systems.
This position is not suited for those merely dabbling in AI or conventional full-stack developers looking to simply incorporate GPT. You'll be at the forefront, creating proof-of-concepts that showcase the future—automated, efficient, and scalable. Your work will involve crafting structured prompts that navigate OSS/BSS systems, training agents to perform telco tasks, and deploying workflows that minimize latency and manual intervention.
Join a compact team with a remarkable technical reputation, where you'll manage POCs from semantic mapping to model orchestration and deployment, accelerating sales cycles and paving the way for substantial platform integration. If you code with an artist's touch, converse fluently in LLM, and thrive on witnessing AI autonomously tackle real-world challenges, we want to hear from you!
What you will be doing
- Craft AI proof-of-concepts that illustrate how Ontology AI addresses real-world telecom challenges, teaching AI to comprehend telecom structures and intelligently reason within them.
- Construct essential platform modules enabling AI to map meanings across telecom datasets, execute instructions, and coordinate actions across diverse systems.
- Design and implement AI models capable of making intelligent, real-time decisions in telecom scenarios such as network management, service provisioning, and enhancing customer experience.
What you will NOT be doing
- Engaging in traditional software development focused solely on manual coding and upkeep.
- Conducting basic API development or standard telecom software engineering without AI advancements.
- Utilizing AI as a mere novelty without tangible improvements in telecom efficiency.
Key responsibilities
- Develop systems that boost technical credibility with clients, reduce sales cycles, and expand possibilities for in-depth platform integration.
Candidate requirements
- Minimum of 3 years in a software engineering or architecture position
- Expert-level proficiency in Python
- Background in DevOps automation, along with strong expertise in Kubernetes and AWS
- Experience in integrating telecommunications systems and automating telco-specific workflows
- Proficiency in using AI tools like Cursor and LLM copilots for swift prototyping
- Comprehensive understanding of vector databases and RAG methodologies
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.
