
NLP/LLM Systems Engineer
4 days ago
We are seeking an experienced NLP/LLM Engineer to join our team. As a key member of our organization, you will design and implement production-ready NLP pipelines, fine-tune open-source LLMs, and integrate them into real-time products.
Key Responsibilities- Design and implement NLP pipelines for classification, named entity recognition, summarization, sentiment analysis, and question answering (RAG)
- Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers
- Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers
- Integrate LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) into real-time applications and microservices
- Develop prompt strategies and evaluate prompt robustness; implement few-shot approaches where relevant
- Build retrieval + generation (RAG) pipelines with vector DBs (FAISS, Weaviate, Pinecone)
- Deploy model endpoints (Flask/FastAPI/Streamlit), containerize with Docker, and collaborate on cloud deployment
- Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals
- Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK
- Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants)
- Experience integrating LLM APIs and working with prompt engineering
- Familiarity with embeddings, attention, tokenization, and vector similarity (cosine)
- Experience with vector DBs such as FAISS, Weaviate, or Pinecone
- Comfortable with Docker, Git, and REST API development (Flask/FastAPI)
- Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity)
- A track record of shipping multiple production LLM/NLP systems end-to-end
- Strong system design skills (latency/cost tradeoffs, multi-tenant inference)
- Mentoring/leadership experience and ownership of the ML lifecycle (MLOps)
We offer competitive salaries, bonuses, and benefits packages. In addition, we provide opportunities for growth and professional development. If you're passionate about NLP/LLM and want to make a meaningful impact, apply today
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