Accord Technologies Inc

Sr. QA Test Engineer

Accord Technologies Inc Alpharetta, GA
Accord Technologies Inc

Sr. QA Test Engineer

Accord Technologies Inc Alpharetta, GA
4 days ago
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Accord Technologies Inc provided pay range

This range is provided by Accord Technologies Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$45.00/yr - $50.00/yr
Title: QA Test Engineer

Location: Alpharetta, GA

Duration: 7 months

Position type: W2 contract.

Face to Face interview is needed for this position.

PS :Can consider only Local candidates as there will be onsite interview

Must have strong AI experience

  • Basic cloud proficiency (AWS/Azure/GCP) and containerization (Docker, optional Kubernetes). Performance & Reliability Testing (AI-Aware)
  • Load/performance testing for inference endpoints (latency, throughput, concurrency).
  • Cost-aware testing (token usage, rate limits, fallbacks).
  • Resilience tests: retries, circuit breakers, model timeouts, degraded-mode behavior

Required

TOP 5 SKILLS REQUIRED:

  • 3+ years in QA automation or SDET-type work (adjust by level); 1+ year exposure to AI/LLM or ML-driven features is a plus.
  • Strong test automation in Python and/or Java/TypeScript.
  • We are a platform team, testing APIs for high performance, automation will be primary focus.
  • Strong communication and analytical skills.

Additional Skills Required

  • Hands-on with frameworks/tools such as: UI: Playwright / Cypress / Selenium and API: pytest + requests, Postman/Newman, REST Assured
  • CI/CD integration: Git, GitHub Actions/Jenkins/GitLab CI, test reporting, gating.
  • Test design: equivalence partitioning, boundary testing, risk-based testing, defect triage. AI-Specific Testing Competencies (Key)
  • LLM/application behavior testing: validating correctness when outputs are probabilistic.
  • Evaluation strategies: golden datasets, scoring rubrics, human-in-the-loop reviews.
  • Non-determinism handling: statistical assertions, repeated runs, variance thresholds.
  • Prompt and regression management: versioning prompts, detecting prompt drift, replay tests.
  • RAG testing (if applicable): retrieval quality (recall/precision), grounding checks, citation validation, doc freshness.
  • Safety & quality checks: hallucination detection, toxicity/PII leakage checks, policy compliance tests.

Data & Observability

  • Ability to create and maintain test datasets (structured + unstructured), including edge cases.
  • Familiarity with telemetry for AI systems: - logging prompts/outputs safely, traceability, correlation IDs - tools like OpenTelemetry, ELK/Splunk, Datadog/Grafana (any equivalent)
  • Understanding of data privacy constraints (masking/redaction) and secure test data practices.
  • API / Microservices / Cloud
  • Comfortable testing distributed systems: microservices, async workflows, queues/events.
  • Basic cloud proficiency (AWS/Azure/GCP) and containerization (Docker, optional Kubernetes). Performance & Reliability Testing (AI-Aware)
  • Load/performance testing for inference endpoints (latency, throughput, concurrency).
  • Cost-aware testing (token usage, rate limits, fallbacks).
  • Resilience tests: retries, circuit breakers, model timeouts, degraded-mode behavior.

Nice-to-Have Domain Knowledge

  • Familiarity with NLP concepts (embeddings, context windows, temperature/top-p).
  • Experience with AI tooling: LangChain/LlamaIndex, evaluation tools, model gateways.
  • Knowledge of regulatory/security needs relevant to the telecom domain.

Soft Skills / Ways of Working

  • Strong communication

able to explain AI quality issues clearly to product and engineering.

  • Comfortable partnering with data science/ML engineers and backend teams.
  • Ownership mindset: building reusable test harnesses, improving quality metrics, preventing regressions.

  • Seniority level

    Mid-Senior level

  • Employment type

    Contract

  • Job function

    Quality Assurance

  • Industries

    Information Technology & Services

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