The Role We are currently hiring a highly skilled and motivated Generative AI Engineer for developing an LLM application. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge Generative AI models to solve complex problems and drive innovation across our organization. You will work closely with software engineers and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.Key Responsibilities
AI Model Development: Design and develop a Generative AI model to automate cybersecurity tasks, such as threat detection, investigation, and remediation.
Advanced AI Techniques: Implement NLP, machine learning, LLM, RAG, prompt engineering, and autonomous AI agents to interpret and generate human-like responses to security threats.
Model Training and Evaluation: Utilize large datasets to train and refine AI models, continuously evaluating and improving model performance based on analysts’ feedback and performance metrics.
Research and Development: Stay informed on the latest advancements in AI, machine learning, data engineering, and cybersecurity, integrating new technologies into our solutions to maintain our competitive edge.
Integration: Collaborate with the engineering team to seamlessly integrate the AI model and data infrastructure into our SaaS platform, ensuring scalability and robustness.
LLM Application Observability and Evaluation: Familiarity with observability and evaluation platforms for LLM applications.
Requirements:
Demonstrable experience in developing Generative AI models and managing complex data infrastructures, with a strong background in LLM, RAG, autonomous AI agents, LangChain, and LLAMAindex.
Expertise in machine learning, NLP, and deep learning frameworks (e.g., PyTorch, Hugging Face, Sentence Transformers).
Skilled in programming languages such as Python.
Exceptional analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced startup environment and collaborate effectively with a cross-functional team.
Master’s or PhD in Computer Science, Data Science, Cybersecurity, or a related field - HDFS, S3)