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2 days ago
We are a rapidly growing AI cybersecurity firm delivering advanced security solutions to global enterprises. Our mission is to empower organizations to build and operate secure applications through strategy-driven, risk-based, and modern security practices.
About the PositionAs an Applied AI Engineer, you will collaborate with cross-functional teams to develop, refine, and deploy AI models that drive intelligent automation and real-world advisory systems. You'll translate cutting-edge research into usable solutions and oversee the model lifecycle from concept to deployment.
Key Responsibilities- Design, build, and optimize machine learning models for multi-turn dialogue, entity extraction, reasoning, and decision-making.
- Fine-tune LLMs (e.g., GPT, Mistral, LLaMA) for domain-specific use cases using open-source frameworks.
- Evaluate model performance using qualitative and quantitative methods (BLEU, ROUGE, Precision/Recall, etc.).
- Contribute to rapid experimentation pipelines and scalable AI deployments.
- Work with platform engineers to package models for secure, efficient inference (on-premise/cloud).
- Stay up-to-date with the latest developments in agentic AI, NLP, and LLM alignment.
- 1–2 years of experience in applied ML or AI research roles.
- 3+ years of experience in software engineering or Data Scientist.
- Hands-on experience with Python, PyTorch, HuggingFace, or LangChain.
- Experience fine-tuning or customizing LLMs, especially for reasoning, dialogue, or retrieval-augmented generation.
- Strong understanding of NLP and generative model architectures.
- Bachelor's or Master's in Computer Science, AI, or a related field.
- Pre: Familiarity with agent frameworks or function-calling architectures.
Note: We're seeking an experienced Applied AI Engineer who can bring their expertise to our fast-paced team.
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