Gen AI Developer on GCP

Job Title: GenAI developer on GCP Location: Hartford, CT (Preferred), Remote works ==================================== JD =============== Key Responsibilities • Design, develop, and deploy Generative AI solutions leveraging GCP 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 GCP. • 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 • 2–4 years of hands-on experience in implementing GenAI projects on GCP. • Strong knowledge of GCP AI/ML ecosystem, especially: • Vertex AI • PaLM API / Gemini • BigQuery ML • Cloud Functions / Cloud Run • GCS, Pub/Sub, Cloud Composer (nice to have) • Solid experience with LLMs, transformers, and diffusion models. • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers. • Experience with prompt engineering, fine-tuning, and embedding models. • Familiarity with Vector DBs (e.g., Pinecone, FAISS, Weaviate), and RAG (Retrieval-Augmented Generation) techniques. • Experience deploying GenAI workloads in production environments