Staff Engineer, Agentic Product Developer

Posted 2 Days Ago
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Dallas, TX, USA
In-Office
Mid level
Artificial Intelligence • Big Data • HR Tech • Machine Learning
The Role
Lead the full lifecycle of AI-driven agentic systems, collaborate across teams to embed AI capabilities in smart devices, and optimize performance and reliability.
Summary Generated by Built In
A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.
Key Responsibilities:
• Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential.
• Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary.
• Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles.
• Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible.
Required Qualifications:
• Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation.
• Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.
• Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch.
• Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo.
Preferred Qualifications:
• Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products.
• Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts.
• A proven track record shipping game-changing AI and embedded products that actually make it to market.
Why Join Us?
You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.

Skills Required

  • Hands-on experience in AI product development and real-world agentic projects
  • Deep mastery in agentic AI systems and solutions like reinforcement learning
  • Fluency in Python and C/C++
  • Experience with AI frameworks like TensorFlow and PyTorch
Am I A Good Fit?
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The Company
35 Employees
Year Founded: 2016

What We Do

HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.

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