Partner with business stakeholders to gather, analyze, and document functional and technical requirements.
Translate business use cases into clear, actionable engineering requirements.
Act as a bridge between business users and engineering teams, clarifying intent and answering questions throughout the development lifecycle.
Design, develop, and maintain data pipelines, integrations, and backend services.
Design and implement AI-enabled solutions (such as Agentic AI workflows, MCP servers, LLM integrations).
Debug and resolve issues across application, data, and AI layers.
Participate in technical design reviews, AI architecture discussions, and model evaluation strategies.
Improve reliability, performance, and maintainability of platforms/products.
Help implement AI governance capabilities.

Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
3-6 years of professional software engineering experience.
Hands-on experience with Python or Java in production environments.
Solid understanding of database concepts, SQL, and data modeling.
Experience or demonstrated capability in AI-related development.
Excellent communication skills across technical and non-technical audiences.
Experience in a hybrid role combining business analyst and software development (preferred).
Experience with AI platforms, SDKs, or frameworks (preferred).
Familiarity with prompt evaluation, guardrails, and AI observability (preferred).
Experience designing AI systems with security, governance, and compliance in mind (preferred).
Background in data engineering, analytics platforms, or cloud-native architectures (preferred).

AI Platform Engineer

Key skills