AI DEVELOPER – LLM SPECIALIST

AI overview

Design and deploy AI solutions using large language models while collaborating with cross-functional teams to enhance application features.

DUTIES AND RESPONSIBILITIES

Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral.
Fine-tune and customize pre-trained LLMs for business-specific use cases.
Build and maintain NLP pipelines for classification, summarization, semantic search, etc.
Build and maintain vector database pipelines using Milvus, Pinecone, etc.
Collaborate with cross-functional teams to integrate LLM-based features into applications.
Analyze and improve model performance using appropriate metrics.
Stay up-to-date with AI/ML research and integrate new techniques as appropriate.

WORK EXPERIENCE

1–2 years of experience in AI/ML development with specific focus on NLP and LLM-based applications

SKILLS, ABILITIES & KNOWLEDGE

Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.)
Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini)
Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone.
Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure)
Familiarity with MLOps and version control tools (Git, MLflow, etc.)
Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus
Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setu

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Perks and Benefits

Perks & Benefits Extracted with AI