AI Engineer – NLP

• Design and implement LLM-based solutions for various NLP tasks 
• Build and deploy AI agents that can reason, plan, and take actions across tools and APIs. 
• Fine-tune and optimize open-source or proprietary LLMs for specific use cases. 
• Evaluate model performance and ensure safety, fairness, and reliability of AI systems. 
• Collaborate with DevOps, and product teams to move prototypes into stable, production-ready systems 
• Continuously research the latest advancements in NLP.

• Bachelor's or Master’s degree in Data science, Computer Science or a related field. 
• 2+ years of hands-on experience developing and deploying machine learning models in production. 
• Applied experience working with LLMs, generative AI, or NLP frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API). 
• Experience in fine-tuning and adapting pre-trained models for specific tasks. 
• Familiarity with serving LLM models such as VLLM, SGLang, or TensorRT. 
• Solid understanding of AI agent-based systems and frameworks like Autogen, LangGraph, or CrewAI. 
• Knowledge of Retrieval-Augmented Generation (RAG) and its implementation in production systems. 
• Experience with embeddings, vector databases, and contextual memory systems. 
• Proficiency in using observability and evaluation tools (e.g., Langfuse, LangSmith, Opik) to trace, log, and improve performance

Nice to Have: 

• Experience working with Vision-Language Models (VLMs) like Intern, Qwen, Llama 
• Familiarity with multimodal systems, speech and language translation (ASR, S2ST), graph algorithms, or reinforcement learning. 
• Contributions to open-source NLP/AI projects or research publications.