Jobs via Dice logo

GenAI QA

Jobs via Dice San Francisco, California, United States

hybridfull-time

Salary: 500 compa

Posted Jan 29, 2026Apply by Feb 28, 2026

Role & seniority: Senior GenAI QA Engineer

Location & work type: San Francisco, CA; 3 days on-site/hybrid; 12+ month contract

Stack/tools

  • AI/ML, GenAI, LLMs, Agentic AI (LLM orchestration, autonomous agents), RAG, prompt engineering, vector databases

  • Relational SQL & NoSQL databases; cloud platforms (Azure, AWS)

  • Deep learning frameworks: PyTorch, TensorFlow, Keras

  • Programming: Python, Java, C++, Scala (OOP/OFe)

  • Data pipelines, workflow/ops tools, open-source LLMs

  • Software engineering fundamentals: CI, test automation, code reviews, design docs

Top 3 responsibilities

  • Architect, build, maintain end-to-end SDLC for AI agents; implement automated, performance, and A/B testing

  • Collaborate with Product, PMO, Engineering, and DevOps to plan and deliver new capabilities; establish scalable automated data/model workflows

  • Write and review high-quality software; promote best practices; ensure testing aligns with standards; communicate complex concepts to diverse audiences

Must-have skills

  • 11+ years software engineering experience; 3+ years with AI/ML or GenAI solutions

  • Deep understanding of LLMs, Agentic AI, orchestration, RAG, prompt engineering, vector DBs

  • Experience with SQL/NoSQL, cloud (Azure/AWS), DL frameworks (PyTorch, TensorFlow, Keras)

  • Proficiency in Python, Java, C++, or Scala; data pipelines; CI/CD; code reviews; defect/root-cause analysis

  • Excellent communication and leadership/stakeholder management

  • Nice

Full Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, GSPANN Technologies, is seeking the following. Apply via Dice today!

About GSPANN

Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm

Role: GenAI QA

location: San Francisco, CA (3 Days-Hybrid onsite)

Duration: 12+Months

Architect, build, maintain, and improve end-to-end SDLC – AI Agents Implement end-to-end solutions for automated testing, performance testing and A/B testing Collaborate with Product,PMO, Engineering, and DevOps on planning new capabilities Establish scalable, efficient, automated processes for data analysis, model development, validation, and implementation Write efficient and well-organized software to ship products in an iterative, continual-release environment Actively participate in code review and test solutions to ensure it meet best practice specifications Write efficient and well-organized software in an iterative, continual-release environment Actively participate in code review and test solutions to ensure it meets best practice specifications. Contribute to and promote good software engineering practices across the team Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences

We're excited about you if you have

11+ years of experience in the Software engineering space 3+ years of proven experience applying AI/ML or GenAI (Generative AI) solutions to Develop workflows Deep understanding of LLM models, Agentic AI concepts (LLM orchestration, autonomous agents, RAG, prompt engineering, vector DBs), and AI/ML toolkits to solve quality engineering challenges Experience working with a variety of relational SQL and NoSQL databases Knowledge of cloud platforms, Experience with Azure, AWS or equivalent cloud platforms Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras or similar

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Industry experiences building and productionizing creative end-to-end Machine Learning systems Experience with building and operationalizing a feature Experience using opensource LLMs Knowledge of data pipeline and workflow management tools Expert in standard software engineering methodology, e.g. Functional testing, test automation, continuous integration, defect root cause analysis, code reviews, and design documentation Excellent communication and interpersonal skills, including the ability to work effectively with technical and non-technical staff Strong leadership and stakeholder management skills.

Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.

multi-location

Cookies & analytics consent

We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.

Read how we use data in our Privacy Policy and Terms of Service.