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AI Developer

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Onsite

AI Developer

Qentelli

AI Developer

Skills

Google Cloud PlatformSQL QueriesDeep LearningPythonMicroservicesKerasPyTorchTensorFlowData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


Job Summary

We are seeking a talented and innovative AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong programming skills, experience with AI/ML frameworks, and a passion for building intelligent applications that solve real-world business challenges.

Key Responsibilities

  • Design, develop, test, and deploy AI/ML models and applications.
  • Build and optimize machine learning algorithms and deep learning models.
  • Develop Generative AI solutions using LLMs such as OpenAI, Azure OpenAI, Gemini, Claude, or similar platforms.
  • Create AI-powered chatbots, virtual assistants, and recommendation systems.
  • Develop and integrate APIs for AI services and applications.
  • Work with data engineers and business stakeholders to understand requirements and deliver AI-driven solutions.
  • Fine-tune foundation models and implement Retrieval Augmented Generation (RAG) frameworks.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay updated with emerging AI technologies, tools, and industry trends.
  • Ensure AI solutions follow security, privacy, and responsible AI guidelines.

Required Skills

  • Strong proficiency in Python.
  • Experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Hands-on experience with Generative AI and Large Language Models (LLMs).
  • Knowledge of NLP, Computer Vision, and Predictive Analytics.
  • Experience with LangChain, LlamaIndex, Vector Databases (Pinecone, ChromaDB, FAISS, etc.).
  • Familiarity with Azure AI Services, AWS AI/ML, or Google Cloud AI.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Experience with REST APIs and microservices architecture.
  • Knowledge of SQL and NoSQL databases.
  • Strong analytical and problem-solving skills.

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