AI Engineer

8 hours ago


Ahmedabad, Gujarat, India AiVantage Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
AI Engineer

About Us:
AiVantage drives innovation by leveraging responsive AI to solve complex business challenges. We empower transformation through advanced AI-powered capabilities, integrating LLMs and Azure to enhance enterprise solutions.

Job Description:
At AiVantage, you will play a pivotal role in designing, developing, and optimizing AI-powered solutions. Collaborating with cross-functional teams, you will translate business and operational needs into technical designs. You will build and enhance AI-powered features and capabilities, ensuring seamless integration and continuous improvement for various use cases.

Key Responsibilities

  • Design and implement AI-driven capabilities using LLMs, AI frameworks, DevOps, and API tech stacks.
  • Develop cloud-based AI solutions, integrating APIs and services into the architecture.
  • Work with stakeholders to transform business needs into technical designs for AI-powered features.
  • Leverage Identifi APIs to optimize workflows by automating repetitive tasks using agents, pipelines, and AI-driven processes.
  • Rapidly prototype, validate and deploy performant AI solutions in a scalable and responsible manner.

Key Qualifications & Skills

  • Proven track record as an individual and team contributor on business-driven AI projects.
  • Proven experience fine-tuning and deploying AI solutions in production environments.
  • Experience developing AI-powered features using extensive domain data, Open-Source AI frameworks (e.g., TensorFlow, PyTorch), and Commercial AI products (e.g., Azure AI Services).
  • Strong proficiency in programming languages like Python, C#, .NET, with expertise in other relevant languages.
  • Knowledge of Azure Blob Storage, SQL, NoSQL, Redis, Elasticsearch, ETL for efficient AI data management.
  • Familiarity with GitHub Actions, PowerShell, CI/CD Pipelines, Terraform for scalable deployment.

Preferred Skills

  • Software & Data Engineering: Understanding of fundamental engineering principles and cloud architecture.
  • AI Deployment: Experience with DevOps practices and running AI solutions in Azure.

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