Senior, Software Engineer - Gen AI (Evergreen)
Sunnyvale, CA, United States
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.Company Description
About Walmart:
Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.
Job Description
Job Description
Are you seeking an opportunity to unleash your expertise in cutting-edge AI technologies? Envision yourself as a Senior Machine Learning Engineer, where you'll orchestrate the design and deployment of AI systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and advanced agentic techniques. In this pivotal role, you'll embark on a journey to construct scalable pipelines, seamlessly integrate external data sources, and collaborate with cross-functional teams to deliver high-impact, AI-driven products that redefine the boundaries of innovation.
Key Responsibilities:
AI Development & Agentic Frameworks:
- Design and implement Generative AI solutions utilizing RAG for summarization, and knowledge retrieval.
- Build and integrate LLM-based agents that utilize vector search technologies to provide dynamic, real-time responses.
- Fine-tune and optimize models for specific business needs and tasks.
System Design & Scalability:
- Contribute to building scalable, distributed systems that integrate machine learning pipelines.
- Translate high-level designs into detailed solutions, including mock-ups, pseudo-code, and modular components.
- Design and implement MVPs to validate and refine AI-driven features.
Collaboration & Integration:
- Support architectural decisions to ensure alignment with both functional and non-functional requirements.
- Participate in code reviews and ensure adherence to best practices.
Leadership & Mentorship:
- Drive technical direction for large-scale AI initiatives and mentor junior engineers.
- Establish best practices for building and maintaining AI-driven systems.
Qualifications
Minimum Qualifications:
- 6+ years of experience in machine learning engineering, with a 2+ years focus on Generative AI and NLP.
- Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and NLP libraries like Hugging Face Transformers.
- Hands-on experience with RAG frameworks, vector search tools and knowledge grounding techniques.
- Familiarity with distributed systems, scalable architectures, and cloud platforms (GCP, Azure).
- Strong understanding of software design patterns, disaster recovery strategies, and non-functional requirements.
Preferred Qualifications:
- Experience with multi-modal models and advanced optimization techniques.
- Experience with Generative AI models (e.g., GPT, Gemini) and their fine-tuning.
- Contributions to open-source projects or AI research publications.
- Strong problem-solving and debugging skills in distributed environments.
Qualifications
Azure, GCP, Gemini, Gen AI, Python
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Distributed Systems Engineering GCP Gemini Generative AI GPT LLMs Machine Learning MVP NLP Open Source Pipelines Python PyTorch RAG Research TensorFlow Transformers
Perks/benefits: Career development
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