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

Bridge AI; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Bridge AI in India is seeking a senior Quality Engineering leader who owns end-to-end quality across our platform, including AI agents, web applications, APIs and databases. The role combines quality ownership, automation strategy, and release sign-off authority to ensure production excellence.

You will establish strong manual and exploratory testing foundations, then drive an automation-first quality program—covering agentic AI testing, eval frameworks, safety guardrails, and CI/CD

Qualifications

• 5+ years hands-on experience in quality engineering, including manual and exploratory testing

Responsibilities

• Own quality outcomes across the full delivery lifecycle.

Skills

Quality Ownership

Automation Leadership

Release authority

Product ownership

Manual testing

Exploratory testing

AI agent testing

Python scripting

Cloud exposure

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions

GitLab CI

Jenkins

Postman

REST clients

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

• 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
• Work closely with:
• Product
• 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:
• CI/CD integration (GitHub Actions, GitLab, Jenkins)

Agentic AI & LLM Testing

• Hands‑on experience testing LLMs and AI agents
• Understanding of:
• Guardrails & safety validation

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
• Agent failures are caught before production
• Quality becomes a shared responsibility, led by you
• Manual testing effort reduces as automation and agent critics mature