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Mid-senior AI software role with broad required skills and a generalist title drives moderate competition.
Core ML/GenAI and MLOps skills are highly transferable across industries, reducing background sensitivity.
Explicit 7+ years plus mandatory ML, MLOps, cloud and tooling experience increases filtering strictness.
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Develop and integrate AI-enabled features including Generative AI and machine learning models to enhance the platform's capabilities and user experience.
Design, maintain, and scale AI platform features, ensuring compatibility with other services and APIs in an agile environment.
Provide technical leadership through coaching, code reviews, and rapid problem-solving to ensure AI solutions meet cybersecurity, compliance, and performance standards.
Minimum 7 years of Software Engineering experience with proven involvement in AI product development.
Strong proficiency in Python; experience with Java, Scala, or C# is valuable.
Hands-on knowledge of microservices, DevOps pipelines (ADO, Docker), MLOps/LLMOps, data management (JSON schema, Avro), AI/ML technologies, and cloud platforms (Azure, GCP, or AWS).
Experience with Agile/SCRUM methodologies and workflow orchestration tools like Apache Airflow or Microsoft Fabric Data Factory pipelines.
Experienced in AI/Generative AI product development with a strong technical and startup mindset capable of operating under ambiguity and driving value quickly.
Able to communicate complex AI concepts clearly to various stakeholders and evangelize technology through workshops and demos.
Committed to building secure, compliant, and maintainable AI solutions with a strong focus on responsible AI principles and continuous process improvement.