Ai engineer

Job Title: AI Engineer (Hybrid – Bangalore | 5+ Years Experience)

Location:

Experience:

Company:

About the Role:

experienced AI Engineer

Key Responsibilities:

• Design, develop, and deploy

  scalable AI/ML systems and intelligent services

  .
• Build robust

  APIs and back-end components

  integrating LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.).

• Fine-tune and optimize

  AI/ML models for specific business use cases.
• Develop

  reusable, efficient Python code

  to support AI workflows.
• Integrate

  user-facing elements

  with AI-driven back-end logic.
• Ensure

  high performance, reliability, and responsiveness

  of AI services.
• Collaborate cross-functionally with

  data scientists, DevOps, and product teams

  .
• Work with

  Docker

  and manage deployments on

  AWS

  (EC2, S3, Lambda, SageMaker).
• Implement and maintain

  CI/CD pipelines

  for continuous integration and delivery.
• Monitor and enhance

  AI systems in production

  for optimal performance.

• Mentor junior developers

  and foster an AI-first engineering culture.
• Stay updated with the

  latest AI research, tools, and industry trends

  .

Skills & Qualifications:

AI/ML Engineer

Python

GenAI, LLMs, embeddings, and vector databases

RAG (Retrieval-Augmented Generation)

model fine-tuning, deployment, and inference optimization

FastAPI

ORMs (SQLAlchemy)

Docker

AWS

authentication, authorization, and API security

front-end understanding

performance optimization, distributed systems

Git

Computer Science, AI, Data Science, or related field

problem-solving, communication, and teamwork skills