Product Development Engineer -Agentic AI & Analytics
Core
Develop software, data, automation, and AI-driven solutions to improve Product Engineering productivity and decision-making by building tools, analytics, dashboards, and intelligent applications.
Role type
Product Development Engineer (Agentic AI & Analytics)
Builds
Software tools, automation frameworks, data pipelines, dashboards, and intelligent applications for engineering teams.
Domain
Semiconductor manufacturing / Product Engineering / Data & AI
Required skills
Python, SQL, Machine Learning, Generative AI, Prompt Engineering, NLP, Data Visualization, REST APIs, Web Application Development, Linux, DevOps, Agentic AI Frameworks
Preferred skills
C programming, React/Vue/Flask/FastAPI, Snowflake/Azure/AWS/Databricks, CI/CD, Docker/Kubernetes, Semiconductor domain knowledge, Jira/Confluence
Technologies
Python, SQL, Tableau, Power BI, matplotlib, Plotly, React, Vue, Flask, FastAPI, Django, REST APIs, Jira, Confluence, Teams, SharePoint, Snowflake, Azure, AWS, Databricks, Git, Docker, Kubernetes, Terraform, LangChain, LangGraph, OpenAI SDK, Semantic Kernel, CrewAI, AutoGen, MCP
Responsibilities
Design and develop software tools and automation frameworks; Develop and maintain data pipelines and analytics workflows; Analyze engineering and manufacturing data to identify trends and risks; Build dashboards and visualizations for KPI tracking; Develop intelligent applications using ML and generative AI; Integrate applications with enterprise systems via REST APIs; Build lightweight web applications and user interfaces; Define validation and monitoring approaches for AI outputs; Collaborate with stakeholders to gather requirements and drive adoption; Document designs and implementation steps.
Seniority
Mid-Senior, hands-on IC
