Photon Interactive
From Photon Interactive's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform.
We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform. You will be the gatekeeper of the "User Experience of Thought," ensuring that as our AI agents plan, reason, and execute tasks, they do so within acceptable timeframes and cost-efficiency boundaries.
Your mission is to stress-test the entire AI pipeline—from the initial prompt to the final autonomous action—identifying bottlenecks in LLM response times, RAG (Retrieval-Augmented Generation) retrieval speeds, and third-party API orchestration.
Latency Benchmarking: Measure and optimize TTFT (Time to First Token) and Total Request Latency for complex agentic workflows that involve multiple reasoning steps.
Agentic Loop Stress Testing: Simulate high-concurrency environments to see how the system handles hundreds of autonomous agents running simultaneously, particularly focusing on API rate limits and GPU/compute bottlenecks.
RAG Performance Analysis: Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance.
Token Throughput Monitoring: Analyze the "tokens per second" (TPS) metrics and identify when model-switching (e.g., from a large model to a smaller one) is necessary to maintain performance.
Cost vs. Performance Optimization: Create reports that balance performance gains against token costs, helping the team find the "sweet spot" for production-grade agents.
Orchestration Bottleneck Identification: Use profiling tools to find delays in the "hand-off" between different agents or between the agent and external tools (APIs, databases).
Automated Performance Regressions: Integrate performance testing into the CI/CD pipeline to ensure that new prompt versions or architectural changes don't degrade the agent's speed.
Required Skills & Qualifications
Experience: 8+ years in Performance Engineering, with a specific focus on AI/ML applications or high-concurrency distributed systems.
Tooling Proficiency: Expert-level experience with performance testing tools like Locust, JMeter, or k6, specifically customized for Python-based AI backends.
Python Mastery: Strong ability to write custom scripts to simulate complex, multi-step user/agent interactions.
AI Infrastructure Knowledge: Understanding of LLM-specific performance factors, such as quantization, KV caching, and the impact of different model architectures on latency.
Observability Expertise: Experience with tools like Prometheus, Grafana, LangSmith, or Weights & Biases to monitor system health and AI-specific metrics.
Database Performance: Experience testing the query latency of Vector Databases under heavy load.
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
A free account lets you apply, save this job, see how well you match and check your resume against it.
A short note to a recruiter or the hiring manager after you apply can get your application read sooner.
Hi [Name], I just applied for the QA Engineer (Performance)- Dallas, TX role at Photon Interactive. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in