Responsible AI Engineer

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 only 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.

• A Fast-Growing Category Leader

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

• Career Mobility & Growth

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

• Global Exposure

Collaborate with
Fortune 500 enterprises and regulators
on Responsible AI adoption.

• Create Real Impact

Ensure AI systems are
not 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 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
.