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Specialized AI role but popular mid-senior title and broad skillset increase competition.
Core ML/AI, MLOps and cloud skills are transferable across industries but domain knowledge is advantageous.
Explicit 7+ years and mandatory AI/ML, MLOps, cloud, and tooling requirements make shortlisting strict.
Build and integrate AI technologies like Generative AI and ML models to enhance platform capabilities and user experience.
Design, develop, and maintain scalable AI platform features compatible with services and APIs as part of a startup AI team.
Rapidly solve AI-related technical problems; provide technical guidance and contribute to continuous improvement of AI development processes.
At least 7 years of experience as a Software Engineer with proven AI product development track record.
Strong expertise in Python; valuable to have Java, Scala, or C# knowledge.
Experience with microservices, DevOps tools (ADO pipelines, Docker), MLOps/LLMOps/AIOps, data management (JSON schema, Avro), and workflow orchestration (Apache Airflow, Microsoft Fabric).
Experience with cloud providers (Azure, GCP, or AWS) and Agile development methodologies, especially SCRUM.
Experienced in AI/ML technologies including GenAI concepts like AI flow, evaluation, prompting, guardrails, and retrieval-augmented generation (RAG).
Comfortable working in a startup-like, agile environment with a strong ownership mindset and bias for action.
Capable of explaining complex AI topics to non-technical audiences and promoting responsible AI practices including security, privacy, and compliance by design.