Responsible AI Engineer
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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 → akira.ai
Vision AI Platform → xenonstack.ai
Inference AI Infrastructure for Agentic Systems → nexastack.ai
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 .
- 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 .
- 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.
- 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.
- 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.
- 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.
- 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.
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 .
About XenonStack
Building enterprise-ready agentic AI platforms and systems.
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