Generative AI Engineer
Listed on 2026-06-23
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps, Machine Learning/ ML 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
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