What You'll Do At CYBLE:
- Prompt Design & Optimization
- Craft and iterate prompt templates for a variety of use cases (summarization, classification, Q&A)
- Implement few-shot examples, chain-of-thought techniques, and dynamic parameterization
- Benchmark, profile, and refine prompts to balance accuracy, latency, and cost
- Workflow & Chain Development
- Build multi-step LLM pipelines using frameworks like LangChain, LlamaIndex, or equivalent
- Integrate retrieval-augmented generation (RAG) with vector stores and document loaders
- Develop agentic workflows that orchestrate API calls, data enrichment, and user interactions
- Model Integration & Testing
- Integrate with public and private LLM services (e.g., OpenAI, Anthropic, self-hosted models)
- Automate performance tests, error-handling routines, and hallucination checks
- Monitor usage metrics, implement rate-limits, and optimize token budgets
- Collaboration & Documentation
- Work closely with backend/frontend engineers to expose LLM endpoints
- Create and maintain a prompt library, testing suite, and best-practice guidelines
- Conduct reviews, knowledge transfers, and training sessions on prompt engineering
What You'll Need:
- 3+ years of experience in AI/ML, NLP, or software engineering with a focus on prompt or LLM integration
- Strong proficiency in Python and familiarity with LLM client libraries
- Hands-on with at least one orchestration framework (LangChain, LlamaIndex, Dify, etc.)
- Experience working with vector databases (Pinecone, Weaviate, Qdrant) or embedding services
- Solid understanding of prompt-engineering techniques, chain-of-thought, and RAG concepts
- Ability to benchmark, profile, and optimize model calls for performance and cost
- Excellent written communication for clear documentation and prompt examples
Preferred (Nice-to-Have)
- Experience fine-tuning or prompt-tuning domain-specific models
- Familiarity with self-hosted LLM deployments (Hugging Face, OpenAI local runtimes)
- Background in automated evaluation metrics (ROUGE, BLEU, custom tests)
- Contributions to open-source prompt libraries or agent frameworks
- Exposure to CI/CD for AI services and observability tools
What We Offer
- Impactful Projects: Shape core LLM-driven capabilities across diverse applications
- Innovative Environment: Work with cutting-edge models, RAG pipelines, and agent frameworks
- Growth & Learning: Access to mentorship, training budgets, and conference support
Apply now to help us define the future of AI-driven applications through expert prompt engineering!
About Cyble:
Cyble is revolutionizing the landscape of cybersecurity intelligence. Founded in 2019, Cyble began as a visionary college project and has quickly transformed into a leading force in proactive cyber threat detection and mitigation, that is now globally significant, with people in 20 countries - Headquartered in Alpharetta, Georgia, and with offices in Australia, Malaysia, Singapore, Dubai, Saudi Arabia and India
Our mission is clear: to provide visibility, intelligence and cybersecurity protection using cutting-edge advanced technology, giving enterprises a powerful advantage. We democratize real-time intelligence about cyber threats and vulnerabilities, enabling organizations to take proactive measures and maintain robust cybersecurity. We strive to make the digital world a safer place for everyone.
At Cyble, artificial intelligence (AI) and innovation are central to all operations, with a commitment to continuous improvement and excellence in both products and business practices. Cyble values inclusivity, offering team members autonomy and flexibility to balance their professional and personal lives. Cyble fosters a culture where employees voices are heard, contributions are recognized, and everyone is encouraged to be part of something extraordinary.
