Gen AI Engineer
5 days ago
Location: Hartford, CT
Duration: 03 Months
JOB DESCRIPTION:
• We are seeking a highly skilled Generative AI / Machine Learning Engineer with expertise in Google Cloud Vertex AI, AWS AI/ML services, Deep Learning, LangChain, and LangGraph.
• The candidate will design, develop, and deploy advanced AI/ML models and frameworks to solve enterprise challenges, while ensuring scalable, secure, and production-ready implementations.
Key Responsibilities:
• Design, build, and deploy end-to-end ML pipelines using Google Vertex AI, AWS SageMaker, and cloud-native services.
• Develop and fine-tune Large Language Models (LLMs) for enterprise applications.
• Implement Generative AI solutions across text, image, and multimodal use cases.
• Leverage LangChain/LangGraph frameworks to build AI agents and orchestration flows.
• Collaborate with data engineers, scientists, and business stakeholders to integrate AI solutions.
• Apply Deep Learning architectures (Transformers, CNNs, RNNs, GANs) for complex use cases.
• Establish prompt engineering strategies, retrieval-augmented generation (RAG), and model fine-tuning.
• Ensure compliance with AI security, governance, and ethical guidelines.
• Document processes, track metrics, and monitor model performance.
Mandatory Skills:
• 5+ years of experience in AI/ML development.
• Strong expertise in Google Vertex AI and AWS ML services (SageMaker, Bedrock, etc.).
• Hands-on with LangChain, LangGraph and AI orchestration tools.
• Proficiency in Python, SQL, TensorFlow, PyTorch, Hugging Face.
• Solid understanding of LLM fine-tuning, NLP, and Generative AI.
• Experience with MLOps, CI/CD, and model monitoring pipelines.
• Knowledge of ETL/ELT, structured & unstructured data integration.
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