Senior Applied Scientist (Agentic Systems Validation)

TraceLink

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profile Job Location:

Pune - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Company overview:

TraceLinks software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance visibility and decision making. It reduces disruption to the supply of medicines to patients who need them anywhere in the world.

Founded in 2009 with the simple mission of protecting patients today Tracelink has 8 offices over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.

Tracelink is recognized as an industry leader by Gartner and IDC and for having a great company culture by Comparably.

Senior Applied Scientist (Agentic Systems Validation)

Location: Pune India

About the Role

Were hiring a Senior Applied Scientist (Agentic Systems Validation) to lead validation quality engineering and production reliability for agentic AI systems including LLM-powered features tool-using agents and automated workflows.

This role focuses on evaluating and operationalizing agentic AI systems in production not training foundation models. Youll partner closely with ML engineers and platform teams to ensure agentic experiences are reliable safe observable and scalable.

What Youll Do

  • Own quality and validation strategy for LLM- and agent-based features.

  • Design end-to-end tests for complex agentic workflows:

    • multi-agent coordination

    • long-running workflows and state transitions

    • tool/API execution retries and failure recovery

    • memory context and grounding behavior

  • Build test harnesses golden datasets and regression suites for AI behavior consistency.

  • Handle LLM non-determinism using deterministic testing techniques (mocking replay stubbing).

  • Define AI quality safety and reliability metrics; contribute to dashboards and alerts.

  • Monitor production behavior investigate incidents and drive regression prevention.

  • Integrate AI validation into CI/CD pipelines with strong quality gates.

  • Mentor engineers and drive org-wide standards for agentic AI quality.

AI Safety & Responsible AI

  • Test guardrails against prompt injection jailbreaks and unsafe tool execution.

  • Validate safe handling of sensitive data and high-risk scenarios.

What Were Looking For

  • 5 years in SDET QA automation applied AI validation or software engineering with deep testing ownership.

  • Hands-on experience testing LLM-powered or AI-driven systems.

  • Strong understanding of AI testing challenges (non-determinism hallucinations drift).

  • Strong coding skills in Python Java or TypeScript/JavaScript.

  • Experience with API/integration testing CI/CD and automation frameworks.

  • Familiarity with observability tools and debugging distributed systems.

Nice to Have

  • Experience with RAG systems vector databases or agent frameworks.

  • AI security testing experience (prompt injection jailbreak prevention).

  • Experience building AI evaluation or monitoring dashboards.

Education

Masters degree in Computer Science Engineering Data Science or equivalent experience.


Required Experience:

Senior IC

Company overview:TraceLinks software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance visibility and decision making. It reduces disruption to the supply of medicines to patients who need them anywhere in the world.Founded in 2009...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

About Company

Company Logo

TraceLink is the only network creation platform company that builds integrated business ecosystems with multienterprise applications - the true foundation for digitalization - delivering customer-centric agility and resiliency for end-to-end supply networks and leveraging the collecti ... View more

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