GenAI Developer with Google Cloud Platform
Job Title: GenAI Developer with Google Cloud Platform
Location: Hartford, CT (Preferred), Remote works
Key Responsibilities
- Design, develop, and deploy Generative AI solutions leveraging Google Cloud Platform Vertex AI, , Gemini, and related services.
- Collaborate with data scientists, MLOps engineers, and product teams to translate business problems into GenAI solutions.
- Fine-tune and deploy foundation models (LLMs, diffusion models, etc.) for use cases like text generation, summarization, code generation, and multimodal applications.
- Implement prompt engineering strategies to optimize GenAI outputs for different business needs.
- Develop scalable APIs and pipelines to serve GenAI models in production.
- Optimize cost, latency, and performance of GenAI workloads on Google Cloud Platform.
- Conduct experiments and A/B testing to evaluate and validate model performance and business value.
- Stay up-to-date with advancements in the GenAI ecosystem and suggest innovative solutions and tools.
Required Qualifications
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2 4 years of hands-on experience in implementing GenAI projects on Google Cloud Platform.
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Strong knowledge of Google Cloud Platform AI/ML ecosystem, especially:
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Vertex AI
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PaLM API / Gemini
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BigQuery ML
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Cloud Functions / Cloud Run
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GCS, Pub/Sub, Cloud Composer (nice to have)
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Solid experience with LLMs, transformers, and diffusion models.
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Proficiency in Python and frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers.
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Experience with prompt engineering, fine-tuning , and embedding models.
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Familiarity with Vector DBs (e.g., Pinecone, FAISS, Weaviate) , and RAG (Retrieval-Augmented Generation) techniques.
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Experience deploying GenAI workloads in production environments
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