GenAI QA Engineer
San Francisco, CA, US • Posted 2 hours ago • Updated 2 hours ago

GTSS Inc
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Job Details
Skills
- API
- Amazon Web Services
- Apache Kafka
- Artificial Intelligence
- C++
- Keras
- Java
- Generative Artificial Intelligence (AI)
- Machine Learning Operations (ML Ops)
- PMO
- Open Source
- Quality Assurance
- SQL
- Scala
- PyTorch
- Python
- Scripting
- NoSQL
- Orchestration
- Extract, Transform, Load
- DevOps
- Deep Learning
Summary
Role: Gen AI QA
location: San Francisco, CA (hybrid onsite)
Duration: Long Term
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
Responsibilities:
- Provide hands-on technical expertise, guidance, and mentorship to develop Agentic AI driven quality solutions, across multiple SDLC phases. Design and implement AI agents to autonomously analyze requirements, generate code, generate test scenarios, create/maintain automated test scripts, and identify gaps, risks and potential defects early in the cycle.
- Partner with DevOps and SRE teams to integrate AI-driven quality checks into CI/CD pipelines. Develop AI agents for code reviews, security scans, performance optimization and monitor production environments for anomaly detection and self-healing recommendations.
- Lead innovation pilots and POCs, evaluating emerging AI/ML tools, and recommend scalable adoption strategies. Establish and maintain MLOps practices for the AI lifecycle (model training, deployment, monitoring, and governance) and automate processes across the engineering pipeline. Coach and mentor technical teams on leveraging Gen AI and Agentic AI for productivity and quality improvements.
We're excited about you if you have:
- 10 years of experience in the Software engineering space
- 3+ years of proven experience applying AI/ML or GenAI 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
- Experience working with: Hadoop, Spark, Kafka, Scala, Python, etc.
- Knowledge of cloud platforms, Experience with Azure, AWS or equivalent cloud platforms
- Hands-on Experience working with Databricks
- 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 working with distributed systems, service-oriented architectures, and designing APIs/ API Graph.
- 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.
- Dice Id: 10110952
- Position Id: 8866596
- Posted 2 hours ago
Company Info
About GTSS Inc
"If you want to build something big, you have to start with a small step!"
Beginning 2003, GTSS has been a leader in providing flex staffing solutions for Fortune 500, SMBs and startups from a single resource to a full-fledged project team for their long term innovation programs. Given the scarcity of emerging technology skills and full stack developers we offer ‘uberisation of talent’ providing an effective and efficient staffing model for business to be agile and build teams as and when they want.


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