I
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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