Artificial Intelligence Engineer

Job Title:

Job Overview:

AI Engineer

Roles & Responsibilities:

• Design, build, and deploy

  AI/ML solutions

  to solve real-world business problems.
• Develop and fine-tune

  LLM-based applications

  (e.g., Chatbots, RAG systems, text generation, summarization).
• Implement and optimize

  Retrieval-Augmented Generation (RAG) pipelines

  using vector databases and embedding models.
• Work with cross-functional teams to

  understand requirements

  and translate them into scalable AI solutions.
• Write efficient and optimized code in

  Python

  for ML/AI workflows.
• Leverage

  SQL

  for data extraction, transformation, and analytics.
• Stay updated with the latest advancements in

  Generative AI, NLP, and ML frameworks

  .

Required Skills

• Programming:

  Python with strong problem-solving abilities.

• AI / ML:

  Solid experience in building and deploying AI/ML models .

• Generative AI:

  Hands-on knowledge of LLMs, embeddings, and prompt engineering.

• RAG Applications:

  Experience with

  vector databases

  (e.g., Pinecone, FAISS, Weaviate) and

  retrieval pipelines

  .

• SQL:

  Proficient in writing complex queries and handling structured datasets.
• Familiarity with ML frameworks such as

  TensorFlow / PyTorch / Scikit-learn

  .
• Strong debugging, optimization, and analytical skills.

Good to Have

• Experience with

  cloud platforms

  (AWS, Azure, GCP) for AI/ML deployment.
• Exposure to

  MLOps pipelines

  and model lifecycle management.
• Knowledge of API integration for

  LLM-based services

  (e.g., OpenAI, Anthropic, Hugging Face).

Qualifications

• Bachelor’s or master’s degree in computer science

  , Data Science, AI/ML, or related fields

  .
• 3+ years of relevant industry experience in

  AI/ML engineering

  .