Description

You will design and deliver generative AI applications from concept through production, addressing real operational and business challenges.

This role is on-site.

Responsibilities

• Translate business requirements into GenAI system architectures, selecting appropriate models, tools, and integration patterns.
• Build and maintain full-stack applications, including LLM-powered tools, internal platforms, and APIs.
• Implement LLM integrations using RAG, prompt engineering, tool calling, and API-based workflows.
• Apply DevOps best practices to support CI/CD, monitoring, and scalable cloud deployments.
• Evaluate and prototype emerging GenAI tools and platforms for potential business impact.

Required Skills

• 3–5+ years of professional experience in software engineering or AI engineering.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field from an ABET-accredited program.
• Strong proficiency in Python.
• Full-stack development experience (frontend and backend).
• Experience with cloud platforms (AWS, Azure, or GCP) and modern cloud architectures.
• DevOps experience, including CI/CD pipelines, containerization, and deployment automation.
• Experience designing and consuming APIs following industry best practices.
• Proficiency with source control and collaboration tools (e.g., GitHub).

Preferred Skills

• Hands-on experience building LLM-powered applications.
• Experience with agentic or orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar).

Key Skills

Education

Bachelor's degree