AI Engineer

What you'll do

• Design, develop, and deploy ML, DL, and Generative AI models to solve complex business problems.
• Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud-native tools.
• Implement and optimize AI solutions using platforms like GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.
• Apply techniques such as prompt engineering, RAG, fine-tuning, and RLHF to enhance model performance.
• Develop and deploy autonomous AI agents using frameworks like LangChain, LangGraph, and AgentSpace.
• Integrate vector databases and LLM orchestration tools to support retrieval and memory in generative systems.
• Manage MLOps practices including CI/CD, monitoring, versioning, and the full lifecycle management of models.
• Evaluate emerging AI research and tools for enterprise adoption while ensuring responsible and ethical development.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in AI/ML engineering with a strong foundation in ML/DL algorithms and systems.
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and Transformers.
• Hands-on experience with Generative AI models, agentic AI systems, and LLM-based applications.
• Experience building production-grade AI systems at scale in cloud environments, specifically on Google Cloud Platform.
• Strong understanding of MLOps practices including model deployment, monitoring, versioning, and CI/CD.
• Familiarity with vector search, semantic retrieval technologies, and tools like LangChain or LangGraph.
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.