AI Agent Applications Engineer

## Company: Qualcomm China ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm is building a dedicated team to deeply embed an AI-native GenAI Platform into our local engineering Software Development Life Cycle (SDLC). As an Engineer / Senior Engineer focused on AI Agent applications, you will design and build agentic systems that can plan, use tools, retrieve context, execute multi-step engineering workflows, and safely automate repetitive software development tasks. 1\. You will architect, implement, and evaluate AI agentic workflows for engineering productivity scenarios such as requirements analysis, code understanding, code generation, test creation, defect triage, release validation, documentation, and customer commercialization support. This includes workflow orchestration, tool calling, memory/context management, human-in-the-loop review, and robust failure handling for production use. 2\. You will integrate agents with the local GenAI Platform, enterprise data sources, code repositories, CI/CD systems, internal Qualcomm tools, and evaluation/observability pipelines to deliver reliable, secure, and measurable AI automation for software engineering teams. You will serve as a hands-on AI agent engineer who bridges LLM application development, backend engineering, workflow automation, and platform integration. You will work closely with the global GenAI Platform core team and local engineering teams to localize, extend, and continuously improve agent-based developer productivity solutions. This role is within the Qualcomm Engineering – Software group. Minimum Qualifications * Bachelor's degree in Engineering, Information Systems, Computer Science, AI/ML, or related field. * 3+ years of software engineering experience in backend systems, developer tools, automation platforms, or AI/ML application roles. * 1+ year of hands-on experience building LLM-based applications, AI agents, workflow automation, RAG systems, or tool-calling assistants. * Strong programming skills in Python and/or Go, with practical experience building production-quality APIs, services, CLIs, or automation tools. * Engineering experience with agentic workflow patterns, including task decomposition, planning/execution loops, tool invocation, state management, error recovery, and human approval gates. * Experience integrating software systems through REST/gRPC APIs, Git workflows, CI/CD pipelines, databases, message queues, or internal enterprise tools. * Solid understanding of Linux environments, Docker/container-based deployment, and secure software delivery practices. Preferred Qualifications * Master’s degree in Computer Science, AI/ML, Software Engineering, or related field. * Hands-on experience with agent frameworks or SDKs such as LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI/Anthropic tool-calling APIs, MCP, or equivalent internal frameworks. * Experience designing multi-agent or single-agent systems with explicit workflow graphs, durable execution, checkpointing, permission boundaries, and audit logs. * Experience building evaluation harnesses for LLM/agent quality, including task success metrics, regression datasets, safety checks, latency/cost monitoring, and A/B experimentation. * Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g., Milvus, Qdrant, Chroma), embedding models, reranking, and context engineering. * Familiarity with AI coding assistant platforms (e.g., GitHub Copilot, Cursor, internal LLM-based developer tools) and software-engineering automation use cases. * Knowledge of prompt engineering, structured outputs, function/tool schemas, model routing, guardrails, and LLM observability. * Experience with model serving frameworks (vLLM, TGI, TensorRT-LLM) and inference optimization is a plus. * Knowledge of export compliance, data-security, and privacy requirements in China’s enterprise software environment. * Experience...