Software Engineer 4 (GenAI)
Ryzen Solutions
Contract
On-site
Fremont, California, United States
$80 - $100 USD hourly
Generative AI
Location: Hybrid (on-site 2x per week preferred in Fremont; remote considered)
SummaryAs a GenAI Engineer, you will design and develop AI-driven enterprise applications, including chatbots leveraging company data. Working closely with a cross-functional team of data scientists and software engineers, you will deliver innovative solutions that drive measurable business value and enhance user experience across the organization.Responsibilities
SummaryAs a GenAI Engineer, you will design and develop AI-driven enterprise applications, including chatbots leveraging company data. Working closely with a cross-functional team of data scientists and software engineers, you will deliver innovative solutions that drive measurable business value and enhance user experience across the organization.Responsibilities
- Design and develop GenAI-based applications leveraging RAG, text-to-SQL, function-calling, and agentic architectures.
- Conduct experiments and analyses to evaluate, optimize, and measure the business impact of ML and GenAI applications.
- Collaborate with business stakeholders to gather requirements, incorporate feedback, and align technical solutions with business objectives.
- Follow software engineering best practices including version control (Git), CI/CD, documentation, and unit testing.
- 5+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
- Strong proficiency in Python.
- Hands-on experience with common NLP/ML frameworks such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.
- Proficiency with LLM development including fine-tuning, LLMOps, function-calling, and retrieval-augmented generation (RAG).
- Experience with cloud platforms, preferably Microsoft Azure.
- Excellent communication skills with the ability to collaborate across teams.
- Strong analytical and problem-solving skills in a fast-paced, dynamic environment.
- Experience developing GenAI applications using multi-agent frameworks or graph-based GenAI (e.g., GraphRAG).