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Generative AI Developer


Roles and Responsibilities:

- 3 to 8 years of hands-on experience with Generative AI, AI, ML, and Data Science technologies.

- Extensive experience in implementing end-to-end projects utilizing Generative AI.

- Experience in building production-grade solutions with Generative AI, AI, and ML components.

- Hands-on experience in developing Generative AI applications using methodologies such as RAG, prompt engineering, embedding, and fine-tuning.

- Proficient with Google Agent Space, Google ADK, Vertex AI, Agent Engine, etc.

- Experience working with both structured and unstructured data for building RAG-based solutions.

- Familiarity with AI/ML search and data services within the GCP ecosystem, including GCP Vertex AI, Vertex AI Vector Search, Gemini, Cloud Run, Cloud SQL, etc.

- Experience with agent frameworks like Google ADK, Langraph, CrewAI, etc.

- Extensive experience in Python programming, along with popular frameworks such as Flask and FastAPI.

- Experience with AI/ML deep learning, TensorFlow, Python, and NLP.

- Excellent understanding of Generative AI-related concepts, methodologies, and techniques.

Experience and Qualifications:

- Bachelor's degree in computer science or a related field.

- 3-8 years of AI/ML experience, including 2 years in GenAI projects.

- Proficiency with Google Cloud AI services and Python.

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- Solid understanding of API integration, test automation, and software engineering principles.

- Good teamwork and communication skills.

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