Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases.
Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.

Requirements

Hands-on experience in programming languages such as Python.
Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
Experience with backend development using Flask or FastAPI.
Experience working on projects involving machine learning techniques or agent-based systems is a plus.
Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
Knowledge of frontend frameworks such as React or Svelte is a plus.
Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learninglarge language modelsFlaskFastAPIvector databasesRAG frameworksReactSvelteAI/ML frameworks