Artificial Intelligence Engineer

Job Title: AI/ML Engineer (with Python & LLM Ops focus)

Location:

Experience:

Core Responsibilities

• Develop and optimize data pipelines using

  Python, Pandas, and Scikit-learn

  .
• Support

  prompt engineering

  initiatives for LLM-based applications.
• Conduct

  model evaluation and testing

  , ensuring accuracy, reliability, and performance.
• Work with

  Vector Databases

  (e.g., Pinecone, FAISS) for embedding storage and retrieval.

Secondary Responsibilities

• Assist in

  fine-tuning small and domain-specific models

  for production use.
• Write

  automation scripts

  for data preparation, cleaning, and feature engineering.
• Collaborate with product and engineering teams to enable

  API integrations

  for ML services.

Must-Have Skills

• Strong programming skills in

  Python

  with hands-on experience in

  Pandas

  and

  Scikit-learn

  .
• Basic knowledge of

  prompt engineering

  for LLMs.
• Understanding of

  model evaluation metrics and testing techniques

  .
• Exposure to

  Vector Databases

  (Pinecone, FAISS, or similar).

Good-to-Have Skills

• Experience with

  fine-tuning smaller ML or LLM models

  .
• Familiarity with

  REST APIs / GraphQL

  and integrating ML models into production workflows.
• Knowledge of

  data preprocessing pipelines

  and automation scripts.

Soft Skills

• Strong problem-solving and analytical mindset.
• Ability to work in a collaborative environment with cross-functional teams.
• Curiosity to explore and learn new AI/ML tools and frameworks.