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XenonStack

Responsible AI Engineer

Mohali, India
3+ years exp
Full-time
Posted 5d ago
2 views
Actively Hiring Direct 1-Click Apply

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Job Description

​

ABOUT XENONSTACK

XenonStack is the fastest-growing

Data and AI Foundry for Agentic Systems

, enabling enterprises to gain

real-time and intelligent business insights

  • We deliver innovation through: -

Agentic Systems for AI Agents

→

Vision AI Platform

→

Inference AI Infrastructure for Agentic Systems

→

Our mission is to accelerate the world’s transition to

AI + Human Intelligence

by building systems that are

not powerful but also safe, transparent, and accountable

.


THE OPPORTUNITY

We are seeking a

Responsible AI Engineer

to design and implement frameworks that ensure

fairness, safety, compliance, and transparency

in enterprise AI systems.

This is a high-impact role at the intersection of

AI engineering, ethics, and governance

. You will work on ensuring that XenonStack’s

Agentic AI platforms

meet enterprise and regulatory standards, while remaining reliable and trustworthy in production.


KEY RESPONSIBILITIES

Responsible AI Frameworks

  • Develop and implement

fairness, bias detection, and transparency frameworks

for AI systems.

  • Define policies and guardrails for

safe LLM interactions, multi-agent orchestration, and decision-making systems

.

Evaluation & Monitoring

  • Design pipelines to monitor

AI reliability, safety, and hallucination rates

.

  • Build metrics to track

bias, fairness, interpretability, and ethical compliance

.

Governance & Compliance

  • Ensure compliance with

GDPR, SOC2, HIPAA, ISO 27001, and other AI governance standards

.

  • Collaborate with

legal, compliance, and security teams

to embed governance by design.

Transparency & Explainability

  • Implement

XAI (Explainable AI) techniques

to make models and agent decisions interpretable.

  • Provide tools and dashboards for

auditing and reporting

AI behavior.

Collaboration & Cross-Functional Work

  • Work with

AI Engineers, AgentOps, and Data Architects

to integrate responsible AI practices across the stack.

  • Partner with

customers and regulators

to communicate system reliability and ethical safeguards.

Continuous Improvement

  • Stay ahead of

Responsible AI research, EU AI Act, NIST AI RMF, and global standards

.

  • Feed evaluation results into

continuous improvement loops

for AI reliability and safety.


SKILLS & QUALIFICATIONS

Must-Have

  • 3–6 years in

AI/ML engineering, AI governance, or AI safety research

.

  • Strong knowledge of

AI fairness, interpretability, and Responsible AI frameworks

.

  • Hands-on with

evaluation tools

(OpenAI Evals, Ragas, DeepEval, Fairlearn, Aequitas).

  • Proficiency in

Python

and data analysis frameworks.

  • Understanding of

LLM architectures, RAG pipelines, and multi-agent workflows

.

  • Familiarity with

compliance and governance standards (GDPR, SOC2, ISO, HIPAA)

.

Good-to-Have

  • Exposure to

reinforcement learning (RLHF, RLAIF, reward modeling)

.

  • Experience with

Responsible AI monitoring in regulated industries (BFSI, Healthcare, GRC, SOC)

.

  • Knowledge of

observability platforms

(Weights & Biases, Arize AI, Prometheus, OpenTelemetry).

  • Contributions to

Responsible AI open-source projects or research

.


WHY SHOULD YOU JOIN US?

Agentic AI Product Company

Build

trustworthy AI systems

that enterprises can safely adopt.
2.

A Fast-Growing Category Leader

Work at of the fastest-growing

AI Foundries

, delivering Responsible AI at scale.
3.

Career Mobility & Growth

Progress into roles like

AI Governance Lead, Responsible AI Architect, or Chief Trust Officer (CTO-track)

.
4.

Global Exposure

Collaborate with

Fortune 500 enterprises and regulators

on Responsible AI adoption.
5.

Create Real Impact

Ensure AI systems are

not just innovative, but ethical, explainable, and safe

.
6.

Culture of Excellence

Our values —

Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession

— empower you to lead with purpose.
7.

Responsible AI First

Join a company where

Responsible AI is a foundational principle, not an afterthought

.


XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in

shaping the future of intelligent systems

. We foster a

culture of cultivation

built on bold, human-centric leadership principles, where

deep work, simplicity, and adoption

define everything we do.

Our Cultural Values

Agency

– Be self-directed and proactive.

Taste

– Sweat the details and build with precision.

Ownership

– Take responsibility for outcomes.

Mastery

– Commit to continuous learning and growth.

Impatience

– Move fast and embrace progress.

Customer Obsession

– Always put the customer first.

Our Product Philosophy

Obsessed with Adoption

– Making Responsible AI frameworks accessible and enterprise-ready.

Obsessed with Simplicity

– Turning complex ethical challenges into

seamless, auditable workflows

.

Be part of our mission to

accelerate the world’s transition to AI + Human Intelligence

— by making

Responsible AI the backbone of enterprise adoption

.

​

Key Requirements & Skills

  • 3–6 years in AI/ML engineering, AI governance, or AI safety research.
  • Strong knowledge of AI fairness, interpretability, and Responsible AI frameworks.
  • Hands-on with evaluation tools (OpenAI Evals, Ragas, DeepEval, Fairlearn, Aequitas).
  • Proficiency in Python and data analysis frameworks.
  • Understanding of LLM architectures, RAG pipelines, and multi-agent workflows.
  • Familiarity with compliance and governance standards (GDPR, SOC2, ISO, HIPAA).
  • Exposure to reinforcement learning (RLHF, RLAIF, reward modeling).
  • Experience with Responsible AI monitoring in regulated industries (BFSI, Healthcare, GRC, SOC).
  • Knowledge of observability platforms (Weights & Biases, Arize AI, Prometheus, OpenTelemetry).
  • Contributions to Responsible AI open-source projects or research.

Benefits & Perks

Vision AI Platform** →

Frequently Asked Questions

How to apply for Responsible AI Engineer at XenonStack?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

3+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

ApplicationActively Hiring
Apply on Company Website
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XenonStack

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Responsible AI Engineer

XenonStack · Mohali

Apply on Company Website