Generative AI Engineer

Required Qualifications

5-7 years of professional software engineering experience with at least 3 years of experience building AI/ML software products

Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)

Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)

Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows

Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock

Experience with agent frameworks (e.g., Lang Chain, Lang Graph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)

Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure

Solid understanding of API design, distributed systems, and cloud-native architecture

Track record of taking systems from design through production deployment and operation

Preferred Qualifications

Experience with containerization and orchestration (Docker, Kubernetes)

Knowledge of Generative AI Risk Management frameworks (NIST RFM)

Experience supporting developer platforms or internal tooling