LLM Reliability & Evaluation 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 → 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.

Good-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 .