Responsible AI Engineer

ABOUT XENONSTACK

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights.

We deliver innovation through:

• 
  Akira AI – Building Agentic Systems for AI Agents

• 
  XenonStack Vision AI – Vision AI Platform

• 
  NexaStack AI – Inference AI Infrastructure for Agentic Systems

Our mission is to accelerate the world’s transition to AI + Human Intelligence by building secure, transparent, and responsible AI systems.

THE OPPORTUNITY

We are seeking a Responsible AI Engineer with 2–4 years of experience in AI/ML systems, governance, and compliance to ensure our Agentic AI solutions are ethical, explainable, secure, and compliant with global standards.

In this role, you will work at the intersection of AI engineering, governance frameworks, and policy enforcement, ensuring that our AI agents behave in ways that are aligned with human values and organizational principles.

JOB ROLES AND RESPONSIBILITIES

Ethics & Governance Implementation

• 
  Embed Responsible AI principles into the full lifecycle of AI agents—design, training, deployment, and monitoring.

• 
  Implement frameworks for explainability (XAI), bias detection, and fairness in AI models.

• 
  Ensure compliance with AI regulations and standards (EU AI Act, NIST AI RMF, ISO/IEC AI standards).

Risk & Policy Management

• 
  Define and monitor risk assessment processes for AI agents in production.

• 
  Establish guardrails for Agentic AI to prevent harmful or unintended behaviors.

• 
  Work with legal and compliance teams to align technical solutions with governance policies.

AI Monitoring & Auditing

• 
  Implement audit trails for AI agent decisions and tool use.

• 
  Develop monitoring pipelines to detect drift, hallucinations, or security risks.

• 
  Build human-in-the-loop (HITL) review systems for high-impact AI decisions.

Collaboration & Continuous Improvement

• 
  Partner with AI Engineers, Product Managers, and UX teams to design ethical AI workflows.

• 
  Stay ahead of evolving Responsible AI research, regulations, and best practices.

• 
  Advocate for trust, transparency, and accountability in all AI deployments.

SKILLS REQUIREMENTS

Technical Skills

• 
  2–4 years of experience in AI/ML, MLOps, or AI Governance engineering.

• 
  Knowledge of ML fairness, bias mitigation, and explainability techniques.

• 
  Familiarity with AI governance frameworks (NIST AI RMF, OECD AI Principles, ISO/IEC AI).

• 
  Understanding of model risk management and AI security best practices.

• 
  Proficiency in Python for ML pipeline development and monitoring.

• 
  Experience with AI monitoring tools (Fiddler, Arize, WhyLabs, MLflow) is a plus.

Professional Attributes

• 
  Strong analytical and problem-solving skills.

• 
  Ability to translate ethical principles into technical requirements.

• 
  Excellent communication for engaging both technical and non-technical stakeholders.

• 
  Passion for building trustworthy, human-aligned AI systems.

CAREER GROWTH AND BENEFITS

1) Continuous Learning & Growth

• 
  Access to Responsible AI certifications and compliance training.

• 
  Work on cutting-edge Agentic AI deployments in regulated industries.

2) Recognition & Rewards

• 
  Regular feedback and recognition for Responsible AI innovations.

• 
  Performance-based incentives and special project allowances.

3) Work Benefits & Well-Being

• 
  Comprehensive health insurance and wellness programs.

• 
  Cab facilities for women employees and allowances for specific projects.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT

At XenonStack, we believe AI must be as accountable as it is intelligent. We are obsessed with building transparent, ethical, and compliant AI agents that scale responsibly.

Our Product Philosophy:

• 
  Obsessed with Trust – Every AI decision must be explainable and defensible.

• 
  Obsessed with Accountability – AI must be governed, monitored, and aligned with human values.

Be part of our mission to govern the algorithms that govern us and ensure AI + Human Intelligence thrives responsibly.