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Upload Your ResumeAbout This Role
As a Generative AI Engineer, you will build and integrate agentic systems powered by cutting-edge LLM and GenAI technologies. You will collaborate with Tech Leads and Full Stack Engineers to deliver production-ready enterprise AI solutions.
Responsibilities
- Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks
- Integrate GenAI models into full-stack applications and internal workflows
- Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs
- Build reusable components and services for multi-agent orchestration and task automation
- Optimize AI inference pipelines for scalability, latency, and cost efficiency
- Participate in architectural discussions, contributing to the pod’s technical roadmap
Requirements
- 8+ years of software engineering experience
- 3+ years in AI/ML or GenAI systems in production
- Hands-on experience with Python for AI/ML model integration
- Experience with LLM frameworks (LangChain, LlamaIndex)
- Exposure to agentic frameworks (Langgraph, Google ADK)
- Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices
- Familiarity with Google Cloud Platform (GCP) – e.g. Vertex AI, Cloud Run, and GKE
Qualifications
- 8+ years in technology, data engineering, Big Data, AI/ML systems with at least 3 years in AI/ML or GenAI systems in production
Skills
Python
*
DevOps
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Git
*
CI/CD
*
Google Cloud Platform
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LangChain
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LlamaIndex
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Langgraph
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Google ADK
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Vertex AI
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Cloud Run
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GKE
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* Required skills