Build proof-of-concept systems that integrate AI agents with mobile, edge, cloud, and device capabilities.
Architect clean, maintainable, and extensible software systems that support rapid experimentation and iteration.
Contribute to internal frameworks, tools, and infrastructure that accelerate AI prototyping.
Key Responsibilities
Agentic AI Application Development
Design and implement software components, frameworks, and end-to-end prototypes.
Develop agent-enabled applications that combine foundation models, tools, APIs, external services, and device capabilities.
Evaluate emerging agent architectures, workflows, and user experiences.
AI Integration & System Development
Work with AI researchers and system engineers to integrate and evaluate AI models and agentic workflows, including tool integration, orchestration logic, memory systems, runtime integration, and end-to-end data flows.
Provide practical feedback on feasibility, performance bottlenecks, system constraints, and user experience.
Software Engineering Excellence
Drive high-quality software design, architecture, testing, and maintainability.
Build internal tools and automation to improve engineering productivity and prototyping velocity.
Cross-Functional Collaboration
Partner closely with researchers and engineers to deliver impactful prototypes.
Communicate technical designs, trade-offs, and implementation details effectively.
Minimum Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field and 4+ years of software development experience
OR Master’s degree and 3+ years
OR PhD and 2+ years
OR equivalent industry experience in systems or mobile development.
Strong programming skills in one or more languages such as Python, C++, Java, Kotlin, Go, or Rust.
Strong software engineering fundamentals, including architecture design, modularity, testing, debugging, and performance optimization.
Experience designing and building complex software systems with clean, maintainable code.
Experience developing applications or systems from concept to working prototype.
Excellent problem-solving and collaboration skills.
Preferred Qualifications
Experience building agentic AI applications using LLMs, multimodal models, tool calling, workflow orchestration, memory systems, planning, reasoning, or multi-agent architectures.
Familiarity with agent frameworks such as LangGraph, Semantic Kernel, MCP, or similar technologies.
Experience evaluating and improving agent reliability, task completion, and user experience.
Experience rapidly prototyping AI-powered applications and bringing research concepts to working demonstrations.
Experience integrating AI-powered features across mobile, edge, cloud, or embedded platforms.
Familiarity with Snapdragon platforms or on-device AI deployment is a plus.
Experience building internal tools, automation systems, or developer productivity solutions.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field.
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