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AI Engineer

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Onsite

AI Engineer

spanTAG Technology

AI Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonData ScienceMicroservicesPyTorchTensorFlowMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Tamil Nadu, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


We are looking for an experienced AI Engineer with strong hands-on experience in Machine Learning, Deep Learning, Generative AI, and AI application development.

Key Responsibilities

Design, develop, and deploy AI/ML models for business applications.

Develop and optimize Machine Learning and Deep Learning solutions.

Work with Generative AI, LLMs, NLP, and RAG-based applications.

Develop AI solutions using Python and popular ML/AI frameworks.

Build and integrate LLM APIs, AI agents, embeddings, and vector databases.

Develop and optimize prompt engineering strategies and LLM workflows.

Implement RAG pipelines using vector search and knowledge bases.

Perform data preprocessing, feature engineering, model training, evaluation, and optimization.

Deploy AI/ML models into production environments using cloud and container technologies.

Build REST APIs and integrate AI models with enterprise applications.

Monitor model performance, accuracy, scalability, and reliability.

Collaborate with Data Scientists, Software Engineers, DevOps, and Product teams.

Required Skills

Python

Machine Learning & Deep Learning

Generative AI & LLMs

NLP

RAG & Vector Databases

Prompt Engineering

AI Agents / Agentic AI

TensorFlow / PyTorch / Scikit-learn

OpenAI / Azure OpenAI or equivalent LLM APIs

REST APIs & Microservices

Docker & Kubernetes – Added Advantage

AWS / Azure / GCP – Added Advantage

Git & CI/CD

Qualification: Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.

Interested candidates can share their updated CV at:

[email protected]

Pay: ₹600,000.00 - ₹700,000.00 per year

Benefits:

  • Paid sick time
  • Paid time off
  • Provident Fund

Work Location: In person

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