Responsible AI Engineer

ABOUT XENONSTACK

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.

We build enterprise-grade platforms across the agentic stack:

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
  
• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
  
• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
  
• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.
  

Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

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?

1. 
   

   Agentic AI Product Company
   
   Build trustworthy AI systems that enterprises can safely adopt.
   

   
   

2. 
   

   A Fast-Growing Category Leader
   
   Work at one 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.