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Senior Generative AI Engineer (GenAI with Python)

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Hybrid

Senior Generative AI Engineer (GenAI with Python)

Innova Solutions

Senior Generative AI Engineer (GenAI with Python)

Skills

Google Cloud PlatformDockerPythonMicroservicesMachine LearningAIAWSKubernetesNo-code AutomationsComplianceAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

7 October 2026

What they need


Position: Senior Generative AI Engineer

Experience: Min 7-13 Years

Locations Hyd / Chennai

Shift - 3pm - 12pm

Role & responsibilities

  • Designand develop AI-powered automation solutions using modern AI/ML technologies and automation frameworks.
  • Build intelligent workflows integrating LLMs, Generative AI, RPA, APIs, and enterprise applications.
  • Develop AI agents, chatbots, virtual assistants, and workflow orchestration solutions.
  • Integrate AI services such as OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or similar platforms.
  • Automate business processes using tools such as Power Automate, UiPath, Automation Anywhere, or equivalent.
  • Develop and maintain Python-based automation scripts and microservices.
  • Implement Retrieval Augmented Generation (RAG), vector databases, prompt engineering, and agent frameworks.
  • Collaborate with business stakeholders to identify automation opportunities and define solution architectures.
  • Monitor, optimize, and troubleshoot AI automation solutions to ensure reliability and performance.
  • Ensure adherence to security, compliance, and governance standards for AI implementations.
  • Create technical documentation, best practices, and knowledge-sharing materials.

Preferred candidate profile

  • Strong programming experience in Python.
  • Hands-on experience with Generative AI, LLMs, and AI agent frameworks.
  • Experience with Azure OpenAI, OpenAI API, AWS AI Services, or Google Vertex AI.
  • Knowledge of Prompt Engineering, RAG, VectorDatabases (Pinecone, Chroma, FAISS, Weaviate).
  • Experience with API integrations, REST services, and microservices architecture.
  • Familiarity with workflow automation and RPA platforms.
  • Knowledge of cloud platforms: Azure, AWS, or GCP.
  • Understanding of CI/CD pipelines, Git, DevOps practices, and containerization (Docker/Kubernetes).

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