AI Engineer

3 days ago

Chennai, Tamil Nadu, India Meera Consulting Ltd Full time ₹ 9,50,820 - ₹ 13,92,279 per year

We are looking for a passionate AI Engineer with strong expertise in Python, Natural Language Processing (NLP), and Large Language Models (LLMs). You'll work on developing intelligent language-based solutions, integrating LLM APIs (like OpenAI, Cohere, Claude, Hugging Face), and building custom NLP pipelines for real-world applications.

Key Responsibilities :

Model Development & NLP Engineering

  • Design and build NLP pipelines for tasks like classification, NER, summarization, sentiment analysis, and Q&A.
  • Fine-tune and optimize open-source LLMs (e.g., BERT, GPT, T5) using Hugging Face Transformers.
  • Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers.

LLM Integration & Prompt Engineering

  • Integrate LLM APIs (OpenAI, Claude, Cohere, Hugging Face) into real-time applications.
  • Develop and iterate on prompt strategies to maximize LLM performance and reliability.
  • Collaborate with product teams to embed LLMs into chatbots, match explainers, recommendation systems, and user-facing tools.

Deployment & Continuous Improvement

  • Deploy models as APIs using Flask, FastAPI, or Streamlit; containerize with Docker.
  • Monitor model outputs and performance metrics; iterate based on evaluations and user feedback.
  • Stay updated with the latest in GenAI, NLP benchmarks, and open-source tools.

Required Skills & Experience :

  • Proficient in Python and common NLP libraries (SpaCy, Transformers, NLTK, Gensim).
  • Experience integrating LLM APIs and building prompt-driven applications.
  • Hands-on with Hugging Face Transformers for training/fine-tuning.
  • Understanding of key NLP concepts: embeddings, attention, tokenization.
  • Familiarity with vector DBs like FAISS, Weaviate, or Pinecone (for RAG).
  • Comfortable with Git, containerization (Docker), and basic REST API development.

Preferred / Bonus Skills

  • Experience with LangChain, LlamaIndex, PromptLayer, or similar LLMOps tools.
  • Knowledge of RAG workflows, zero/few-shot techniques.
  • Familiarity with evaluation metrics like BLEU, ROUGE, perplexity, cosine similarity.
  • Exposure to AWS, GCP, or Azure for cloud deployment.
  • Contributions to NLP open-source projects or research work is a plus.

Job Type: Permanent

Pay: ₹66, ₹95,081.88 per month

Work Location: In person

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