> Markdown version of [/jobs/ext/2246509-sr-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2246509-sr-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. AI/ML Engineer

- **Company:** Advanced Micro Devices, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $144,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, C++ (Programming Language), Code Generation, Computer Engineering, Linux, Logic Synthesis of Circuits, Electronic Design Automation, Graph Database, Python (Programming Language), Performance Tuning, Software Engineering, Subsystems, SystemVerilog, Systems Integration, Verilog, Large Language Models, Multi-Agent Systems, Kubernetes, Information Technology, Hardware Infrastructure, Virtual Agents, Api Design, Golang
- **Published:** August 26, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87623367/1

## About the Role

The ideal candidate is a pragmatic AI/ML engineer with a strong systems mindset who prioritizes robustness, predictability, and scalability over experimental AI demonstrations. They are detail-oriented and deeply focused on deterministic guardrails, error handling, and performance optimization. This individual will build credibility quickly with hardware engineering teams by understanding the rigor required for silicon production and approaches challenges with a focus on making AI-driven workflows auditable, reliable, and production-ready., * Experience developing production-grade AI/LLM applications and agent-based systems

 * Hands-on experience with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar graph-based agent architectures
 * Strong understanding of API development and integrating LLMs with external systems and tools
 * Familiarity with Model Context Protocol (MCP) or similar tool-calling frameworks
 * Foundational understanding of silicon IP design and verification workflows, including exposure to Verilog/SystemVerilog or digital design concepts
 * Familiarity with EDA tools (e.g., Synopsys, Cadence, Siemens) and Linux-based development environments
 * Strong software engineering skills in Python, C++, Go, or similar languages, with experience building scalable, secure, and modular systems

ACADEMIC CREDENTIALS:

Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related technical field

## Description

We are seeking a hands-on AI/ML developer to build, scale and deploy the next generation AI-assisted silicon design framework. This role sits at the intersection of production software engineering, AI orchestration, and hardware infrastructure, enabling acceleration of the specification-to-netlist lifecycle.

In this role, you will design and develop a robust, modular agentic ecosystem where specialized AI agents leverage advanced reasoning, retrieval-augmented generation (RAG), and structured tool execution to support complex IP development tasks. You will collaborate closely with IP and SoC teams to transform AI prototypes into reliable, enterprise-grade engineering solutions., * Design and deploy modular AI agent architectures capable of task decomposition, structured tool usage, and iterative code generation across the spec-to-RTL lifecycle

 * Develop and optimize multi-step agent workflows, including prompt orchestration, context management, and state handling for complex engineering tasks
 * Build and scale hybrid retrieval systems, including RAG pipelines and knowledge graphs, to ground AI agents in hardware specifications, protocols, and architectural data
 * Develop closed-loop automation systems that enable AI agents to interpret and respond to compiler errors and EDA tool outputs (e.g., lint, simulation) for iterative design refinement
 * Build and maintain secure, low-latency infrastructure to integrate LLMs with external tools using Model Context Protocol (MCP) and custom APIs
 * Partner with IP and Subsystem teams to integrate AI-driven workflows into existing silicon development processes
 * Establish evaluation frameworks and automated pipelines to validate AI-generated outputs for correctness, synthesis readiness, and power, performance, and area (PPA) targets, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.


## Related Videos

- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall)
- [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all)
- [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker)
- [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 210: AI Agents Are Go! Is MCP Dead? LLMs Crack Anonymity](https://www.wearedevelopers.com/magazine/709-dev-digest-210-ai-agents-are-go-is-mcp-dead-llms-crack-anonymity)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)