N2P Systems · 20 hours ago
AI Engineer
N2P Systems is seeking highly skilled AI Engineers with expertise in Large Language Models (LLMs) and advanced AI platforms. The role involves designing, developing, and deploying AI-powered solutions that enhance productivity and drive innovation, particularly in the healthcare industry.
Responsibilities
Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean, and other LLM-based platforms
Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation
Collaborate with product, engineering, and data science teams to build scalable AI applications
Fine-tune and optimize AI/LLM models for specific business and healthcare use cases
Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables
Ensure compliance, security, and ethical usage of AI in production
Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends
Qualification
Required
Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools
Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG)
Proficiency in Python, JavaScript/TypeScript, or similar programming languages
Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments
Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.)
Knowledge of ML pipelines, APIs, and prompt engineering
Excellent problem-solving, communication, and collaboration skills
Preferred
Healthcare industry background or prior work on AI/ML healthcare projects (strong plus)
Experience with enterprise search systems and AI-driven knowledge management tools
Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks
Hands-on with AI copilots for development, clinical data processing, or decision support
Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare
Company
N2P Systems
Funding
Current Stage
Early StageCompany data provided by crunchbase