What are the responsibilities and job description for the GenAI QA position at GSPANN Technologies, Inc?
About GSPANN:
Headquartered in California, U.S.A., GSPANN is a leading provider of consulting and IT services to global clients. We specialize in helping clients transform their IT capabilities, optimize business practices, and drive operational efficiency across industries such as retail, high-technology, and manufacturing. With five global delivery centers and over 2500 employees, we combine the personalized approach of a boutique consultancy with the extensive capabilities of a large IT services firm.
Role: Gen AI QA
location: San Francisco, CA (Hybrid onsite)
Duration: Long Term
We're excited about you if you have:
• 8 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
• Strong hands-on experience with workflow automation tools such as n8n or Nova
• Practical experience integrating MCP servers with LLMs
• Hands-on work with RAG implementations or model fine-tuning
• Ability to troubleshoot workflow and model-level errors
• Clear understanding of hallucination causes and mitigation techniques
• Solid grasp of end-to-end AI framework architecture
• Experience in monitoring GenAI systems, including security and privacy considerations
• Proficient Python coding skills (hands-on, not theoretical)
• Strong leadership and stakeholder management skills.
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.
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 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/disabled.