AI Engineering Specialist
Core
Build internal AI platforms, frameworks, and accelerators to enable agile, secure, and consistent AI adoption at scale.
Role type
AI Engineering Specialist (Platform & Infrastructure)
Builds
Reusable libraries, templates, toolkits for generative AI and LLMs; CI/CD pipelines for AI applications; integrated AI solutions with APIs and microservices.
Domain
Fintech / Payments / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, API development, microservices, scalable cloud architectures, CI/CD pipelines, automation
Preferred skills
Generative AI, LLMs, RAG, agents, MLOps, LLMOps, Airflow, Prefect, Dagster, vector databases, semantic search, Kubernetes
Technologies
Python, Java, Kubernetes, Airflow, Prefect, Dagster, vector databases
Responsibilities
Develop internal AI platforms and frameworks; Create reusable libraries and toolkits for generative AI; Design build, deployment, evaluation, and monitoring pipelines; Integrate AI solutions with corporate APIs and microservices; Drive AI adoption within the SDLC; Support global product and engineering teams; Present solutions to stakeholders and executive leadership.
Seniority
Mid-Senior, hands-on IC
