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Posted 04 June, 2026

Product-Aligned Agentic Quality Engineering Lead (Automation & Agentic AI)

Bridge AI
Mangalore, KA, IN Full Time
Reference: 8702485d22778a3e

Job Description

We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our platform — including AI agents, web applications, APIs, and databases.

This role blends:

  • Quality Ownership
  • Automation & Agentic Testing Leadership
  • Release & Go-Live Authority
  • Product-aligned execution (PO-style ownership)

You will start by establishing strong manual and exploratory testing foundations, then systematically drive automation-first quality, including AI agent validation, critic agents, eval frameworks, and safety guardrails.

This is not a passive QA role.

You are accountable for production quality.


Key Responsibilities


End-to-End Quality Ownership & Release Sign-Off

  • Own quality outcomes across the full delivery lifecycle
  • Act as release authority, driving go/no-go decisions
  • Define and enforce quality gates across features, agents, and releases
  • Partner with Product and Engineering to balance speed and quality
  • Reduce production defects through proactive automation and validation

Automation-First Quality Strategy

  • Define and own the automation roadmap (UI, API, DB, agentic systems)
  • Build and maintain hybrid automation frameworks using Python
  • Drive CI/CD-integrated automated testing pipelines
  • Ensure automation coverage continuously replaces repetitive manual testing
  • Guide aligned Quality Engineers in automation implementation

Agentic AI & LLM Quality Engineering

  • Own quality for AI agents, tool calls, and multi-step workflows
  • Validate:
  • Agent behavior & reasoning paths
  • Tool invocation correctness
  • Hallucinations & unsafe outputs
  • RAG accuracy and grounding
  • Define and execute agent evaluation (evals) frameworks
  • Collaborate with Critic Engineers to design:
  • Critic agents
  • Automated agent validation
  • Benchmark datasets & scoring rubrics
  • Lead innovation in agent testing methodologies

Manual, Exploratory & Scenario-Based Testing

  • Drive high-quality manual and exploratory testing where automation is not yet viable
  • Design test scenarios covering edge cases, failure modes, and real-world flows
  • Ensure strong test data strategies and defect lifecycle management
  • Use manual testing strategically — not as a long-term crutch

Product-Aligned Ownership

  • Work as a quality-focused Product Owner partner
  • Align closely with Product Managers on acceptance criteria and readiness
  • Participate in sprint planning, refinement, and release discussions
  • Ensure quality is embedded into feature design, not added later

Cross-Team Collaboration

  • Work closely with:
  • Product
  • Engineering
  • AgenticOps
  • RAG & AI teams
  • Act as the single quality voice across delivery discussions
  • Mentor and guide aligned Quality Engineers and contributors

Required Skills & Experience


Quality & Manual Testing

  • 5+ years of strong hands-on experience in manual and exploratory testing
  • Deep understanding of SDLC/STLC, test planning, traceability, and defect management
  • Strong API testing experience (Postman, REST clients)

Automation (UI, API, Database)

  • Strong experience in:
  • UI automation (Playwright / Selenium / Cypress)
  • API automation (pytest, requests, REST Assured)
  • Database validation using SQL
  • Experience designing end-to-end automation frameworks
  • CI/CD integration (GitHub Actions, GitLab, Jenkins)

Agentic AI & LLM Testing

  • Hands-on experience testing LLMs and AI agents
  • Understanding of:
  • Agent workflows
  • Tool calling
  • RAG pipelines
  • Guardrails & safety validation
  • Experience designing or executing eval frameworks

Python, MCP & Cloud

  • Strong Python skills for automation, utilities, and validation
  • Understanding of MCP servers, agent tools, and orchestration
  • Cloud exposure (GCP / AWS / Azure) in QA or automation contexts

What Success Looks Like


  • Releases go out predictably and confidently
  • Automation coverage grows sprint after sprint
  • Agent failures are caught before production
  • Quality becomes a shared responsibility, led by you
  • Manual testing effort reduces as automation and agent critics mature

Why This Role Is Special


  • Owns release sign-off
  • Drives automation-first quality
  • Shapes how agentic AI is tested
  • Works closely with Product & CTO
  • Leads innovation in AI testing
  • Not a test executor role
  • Not a checkbox QA position

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