Responsible AI Engineer

XenonStack; Mohali; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

XenonStack is seeking a Responsible AI Engineer in India to design and implement governance frameworks for enterprise AI, ensuring fairness, safety, and transparency across agentic systems.

You will work at the intersection of AI engineering, ethics, and governance, building pipelines to monitor reliability and bias while ensuring compliance with major standards. This role emphasizes collaboration with legal, security, and data teams.

Qualifications

• 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).

Responsibilities

• 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.
• Design pipelines to monitor AI reliability, safety, and hallucination rates.
• Build metrics to track bias, fairness, interpretability, and ethical compliance.
• Ensure GDPR, SOC2, ISO, HIPAA compliance and governance by design in collaboration with legal and security teams.
• Implement XAI techniques to make models and agent decisions interpretable.
• Provide tools and dashboards for auditing and reporting AI behavior.
• Collaborate with AI Engineers, AgentOps, and Data Architects to embed responsible AI across stack.
• Engage with customers and regulators to communicate reliability and safeguards.

Skills

AI governance

Fairness & interpretability

Evaluation tools

Python

LLM architectures & multi-agent

Compliance standards

Tools

OpenAI Evals

Ragas

DeepEval

Fairlearn

Aequitas

Job description

XenonStack is the fastest-growingData and AI Foundry for Agentic Systems, enabling enterprises to gainreal-time and intelligent business insights.

Inference AI Infrastructure for Agentic Systems→nexastack.ai

Our mission is to accelerate the world's transition toAI + Human Intelligenceby building systems that arenot only powerful but also safe, transparent, and accountable.

THE OPPORTUNITY

We are seeking aResponsible AI Engineerto design and implement frameworks that ensurefairness, safety, compliance, and transparencyin enterprise AI systems.

This is a high-impact role at the intersection ofAI engineering, ethics, and governance. You will work on ensuring that XenonStack'sAgentic AI platformsmeet enterprise and regulatory standards, while remaining reliable and trustworthy in production.

KEY RESPONSIBILITIES

Responsible AI Frameworks

Develop and implementfairness, bias detection, and transparency frameworksfor AI systems.

Define policies and guardrails forsafe LLM interactions, multi-agent orchestration, and decision-making systems.

Evaluation & Monitoring

Design pipelines to monitorAI reliability, safety, and hallucination rates.

Build metrics to trackbias, fairness, interpretability, and ethical compliance.

Governance & Compliance

Ensure compliance withGDPR, SOC2, HIPAA, ISO 27001, and other AI governance standards.

Collaborate withlegal, compliance, and security teamsto embed governance by design.

Transparency & Explainability

ImplementXAI (Explainable AI) techniquesto make models and agent decisions interpretable.

Provide tools and dashboards forauditing and reportingAI behavior.

Collaboration & Cross-Functional Work

Work withAI Engineers, AgentOps, and Data Architectsto integrate responsible AI practices across the stack.

Partner withcustomers and regulatorsto communicate system reliability and ethical safeguards.

Stay ahead ofResponsible AI research, EU AI Act, NIST AI RMF, and global standards.

Feed evaluation results intocontinuous improvement loopsfor AI reliability and safety.

SKILLS & QUALIFICATIONS

Must-Have

3-6 years inAI/ML engineering, AI governance, or AI safety research.

Strong knowledge ofAI fairness, interpretability, and Responsible AI frameworks.

Hands-on withevaluation tools(OpenAI Evals, Ragas, DeepEval, Fairlearn, Aequitas).

Proficiency inPythonand data analysis frameworks.

Understanding ofLLM architectures, RAG pipelines, and multi-agent workflows.

Familiarity withcompliance and governance standards (GDPR, SOC2, ISO, HIPAA).

Good-to-Have

Exposure toreinforcement learning (RLHF, RLAIF, reward modeling).

Experience withResponsible AI monitoring in regulated industries (BFSI, Healthcare, GRC, SOC).

Knowledge ofobservability platforms(Weights & Biases, Arize AI, Prometheus, OpenTelemetry).

Contributions toResponsible AI open-source projects or research.

WHY SHOULD YOU JOIN US?

Agentic AI Product Company

Buildtrustworthy AI systemsthat enterprises can safely adopt.

A Fast-Growing Category Leader

Work at one of the fastest-growingAI Foundries, delivering Responsible AI at scale.

Career Mobility & Growth

Progress into roles likeAI Governance Lead, Responsible AI Architect, or Chief Trust Officer (CTO-track).

Global Exposure

Collaborate withFortune 500 enterprises and regulatorson Responsible AI adoption.

Create Real Impact

Ensure AI systems arenot just innovative, but ethical, explainable, and safe.

Culture of Excellence

Our values -Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession- empower you to lead with purpose.

Responsible AI First

Join a company whereResponsible AI is a foundational principle, not an afterthought.

XENONSTACK CULTURE - JOIN US & MAKE AN IMPACT!

At XenonStack, we believe inshaping the future of intelligent systems. We foster aculture of cultivationbuilt on bold, human-centric leadership principles, wheredeep work, simplicity, and adoptiondefine 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 intoseamless, auditable workflows.

Be part of our mission toaccelerate the world's transition to AI + Human Intelligence- by makingResponsible AI the backbone of enterprise adoption.