NLP Engineer

• Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures.;Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring.;Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives.;Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools.;Integrate external data sources (e.g., knowledge graphs, internal databases, third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows.;Evaluate and implement best practices for prompt design, model alignment, safety, and guardrails for responsible AI deployment.;Stay on top of emerging AI research and contribute to internal knowledge-sharing, tech talks, and proof-of-concept projects.;Author clean, well-documented, and testable code; participate in peer code reviews and engineering design discussions.;Proactively identify bottlenecks and propose solutions to improve system scalability, efficiency, and reliability.

AI/NLP Engineer

Mid-Level AI/ML/NLP Engineer

Junior AI/ML/NLP Engineer

Senior ML/NLP Engineer

Natural Language Processing Research Intern