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 making AI agents reliable, explainable, and enterprise-ready . THE OPPORTUNITY We are seeking an LLM Reliability & Evaluation Engineer to ensure that large language models (LLMs) and agentic AI systems meet enterprise-grade standards of accuracy, safety, and trustworthiness .

This role focuses on evaluating, benchmarking, and stress-testing LLMs in real-world workflows, building frameworks for reliability, robustness, and continuous improvement . If you thrive at the intersection of AI research, applied testing, and responsible deployment , this is the role for you.

Key Responsibilities

- Evaluation Frameworks
- Design and implement LLM evaluation pipelines covering accuracy, robustness, safety, and bias.
- Develop automated systems for benchmarking models on enterprise-relevant tasks.

- Reliability Engineering
- Conduct stress tests, adversarial testing, and edge-case evaluations.
- Build tools to measure latency, consistency, and error recovery in multi-turn interactions.
- Metrics & Monitoring
- Define KPIs such as factual accuracy, hallucination rate, toxicity, and compliance alignment.
- Establish real-time monitoring for drift, anomalies, and performance regressions.
- Collaboration & Alignment
- Partner with ML engineers, product managers, and domain experts to align evaluation with business objectives.
- Work with Responsible AI teams to implement ethical, explainable,



and compliant evaluation practices.

- Continuous Improvement
- Feed insights from evaluation into fine-tuning, RLHF/RLAIF pipelines, and model selection.
- Maintain a central repository of test cases, benchmarks, and evaluation results.
- Research & Innovation
- Stay current with state-of-the-art LLM evaluation techniques, from academic benchmarks to applied enterprise metrics.
- Explore automated evaluation using agentic test harnesses and synthetic data generation.

Skills & Qualifications Must-Have

- 3–6 years in AI/ML, NLP, or applied model evaluation.
- Strong understanding of LLM architectures, prompt engineering, and failure modes.
- Hands-on with evaluation frameworks (Eval harnesses, Ragas, OpenAI Evals, DeepEval).
- Proficiency in Python and libraries like LangChain, LangGraph, LlamaIndex, Hugging Face.
- Experience with vector databases, RAG pipelines, and knowledge graph integration.
- Familiarity with bias/fairness testing and Responsible AI frameworks.

Positive-to-Have

- Experience with reinforcement learning (RLHF, RLAIF) and reward modeling.
- Exposure to agentic evaluation frameworks (multi-agent stress testing, synthetic user simulators).
- Knowledge of compliance and safety requirements for BFSI, GRC, or SOC use cases.
- Contributions to open-source evaluation libraries or research papers.

WHY SHOULD YOU JOIN US?

- Agentic AI Product Company

Ensure reliability in cutting-edge AI platforms that are redefining enterprise adoption.




- A Fast-Growing Category Leader

Be part of one of the fastest-growing AI Foundries , powering Fortune 500 enterprises with trustworthy AI.

- Career Mobility & Growth

Grow into roles such as AI Systems Architect, Responsible AI Engineer, or Reliability Engineering Lead .

- Global Exposure

Work on enterprise-scale evaluation challenges across BFSI, Healthcare, Telecom, and GRC.

- Create Real Impact

Your evaluations will directly shape production-grade AI agents used in mission-critical systems .

- Culture of Excellence

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — empower you to innovate fearlessly.

- Responsible AI First

Join a company that prioritizes trustworthy, explainable, and compliant AI . 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 AI accessible, reliable, and enterprise-ready.
- Obsessed with Simplicity – Turning complex evaluation challenges into seamless, automated frameworks.

Be part of our mission to accelerate the world’s transition to AI + Human Intelligence — by making AI agents not just powerful, but trustworthy and reliable .

📌 LLM Reliability & Evaluation Engineer (Sahibzada Ajit Singh Nagar)
🏢 XenonStack Moments
📍 Sahibzada Ajit Singh Nagar