AI Engineer

Job Title:

Location:

Experience:

Job Type:

Key Responsibilities

• Design, build, and deploy scalable

  AI/ML models

  for classification, prediction, and recommendation systems.
• Develop and maintain

  REST APIs

  for AI models using

  FastAPI

  or

  Flask

  .
• Build scalable, asynchronous APIs optimized for production environments.
• Apply

  Generative AI

  techniques (LLMs, transformers, diffusion models) to deliver business-impact solutions.
• Architect

  Agentic AI systems

  with autonomous reasoning, planning, and decision-making.
• Fine-tune and customize

  Large Language Models (LLMs)

  for domain-specific use cases.
• Work with cross-functional teams to integrate AI capabilities into enterprise products.
• Ensure

  scalability

  ,

  reliability

  , and

  security

  of AI deployments using modern DevOps practices.

Required Skills & Qualifications

• 4–6 years of hands-on experience in

  AI/ML engineering

  .
• Strong proficiency in

  Python

  ,

  NumPy

  ,

  Pandas

  ,

  Scikit-learn

  ,

  PyTorch

  ,

  TensorFlow

  .
• Deep understanding of

  Generative AI

  , including

  LLMs

  (GPT, LLaMA, Claude) and

  diffusion models

  .
• Experience with

  Agentic AI frameworks

  : LangChain, LlamaIndex, AutoGPT, CrewAI.
• Strong background in

  NLP

  ,

  embeddings

  , and

  vector databases

  (Pinecone, Weaviate, FAISS, Milvus).
• Proven expertise in

  REST API

  development using

  FastAPI/Flask

  , including authentication and monitoring.
• Hands-on experience with

  Docker

  ,

  Kubernetes

  , and cloud platforms (

  AWS

  ,

  GCP

  ,

  Azure

  ).