2 Context Pipelines Jobs

ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. The company offers Agentic Systems for AI Agents through akira.ai, Vision AI Platform through xenonstack.ai, and Inference AI Infrastructure for Agentic Systems via nexastack.ai. THE OPPORTUNITY We are looking for a Forward Deployed Solutions Engineer Agentic Systems to partner closely with enterprise customers, understanding their business goals and designing tailored AI agent solutions that drive measurable outcomes. This role blends technical architecture, solution design, and on-the-ground enablement, ensuring successful deployment, adoption, and integration of XenonStack's Agentic AI platforms into complex enterprise environments. If you enjoy working directly with customers, solving high-impact problems, and shaping AI-powered transformation strategies, this role is for you. RESPONSIBILITIES Discovery & Solution Design: - Engage with client stakeholders to understand business workflows, challenges, and success metrics. - Design end-to-end AI agent solutions leveraging our Agentic Systems platforms. Technical Implementation Leadership: - Oversee integration of multi-agent orchestration, RAG pipelines, and context management into client environments. - Guide client engineering teams through deployment best practices. Configuration & Customization: - Develop tailored prompt templates, context flows, and tool integrations aligned with enterprise requirements. Enablement & Training: - Deliver workshops and hands-on sessions to upskill client teams in AgentOps, observability, and AI governance practices. Performance & ROI Tracking: - Establish metrics dashboards to track adoption, performance, cost efficiency, and business impact. Customer Advocacy: - Act as the voice of the customer to internal engineering and product teams, highlighting feature requests, workflow gaps, and optimization opportunities. Risk & Compliance Alignment: - Ensure deployed solutions meet enterprise security, compliance, and regulatory standards. SKILLS & QUALIFICATIONS Must-Have: - 4-6 years in solutions engineering, enterprise software delivery, or AI/ML consulting. - Strong technical understanding of LLM architectures, prompt engineering, and context pipelines. - Experience integrating agentic AI frameworks (LangChain, LangGraph, AgentBridge) into enterprise systems. - Familiarity with RAG, vector databases, and API/tool integration patterns. - Excellent client-facing communication and solution storytelling skills. - Ability to translate complex technical concepts into business-relevant outcomes. Good-to-Have: - Exposure to BFSI, GRC, SOC, or FinOps domains. - Familiarity with AI observability stacks and evaluation tools (Prometheus, OpenTelemetry, TruLens, Ragas). - Experience with compliance-driven deployments (GDPR, PCI-DSS, HIPAA). - Background in AI strategy consulting or transformation programs. CAREER GROWTH & BENEFITS Continuous Learning & Growth: - Certification sponsorships in AI solution architecture, multi-agent orchestration, and Responsible AI. - Hands-on exposure to enterprise AI transformations at scale. Recognition & Rewards: - Incentives for measurable customer impact and solution innovation. - Fast-track opportunities into AI Solutions Architecture Leadership roles. Work Benefits & Well-Being: - Comprehensive medical insurance and project-based allowances. - Cab facilities for women employees and special project perks. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: - Obsessed with Adoption: Making AI accessible and enterprise-ready. - Obsessed with Simplicity: Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.,

ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. Agentic Systems for AI Agents: akira.ai Vision AI Platform: xenonstack.ai Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are seeking an Agentic Infrastructure Observability Engineer to design, implement, and maintain visibility, monitoring, and assurance systems for large-scale AI agent deployments. This role focuses on observability, telemetry, and evaluation pipelines across multi-agent and multi-context workflows, ensuring AI systems are measurable, trustworthy, and compliant in enterprise and regulated environments. If you're passionate about SRE principles for AI, LLM evaluation, and agentic system transparency, this role offers the chance to shape observability for the next generation of intelligent automation. RESPONSIBILITIES Design and Implement Telemetry Pipelines Build observability infrastructure to capture logs, metrics, traces, and behavioral data from AI agents, orchestration layers, and integrated tools. Develop Evaluation Dashboards & KPIs Track accuracy, latency, reliability, cost, token usage, and success rates for agentic workflows. Enable Full-Stack Tracing Build execution flow tracing for multi-agent, multi-tool pipelines, with attribution for each decision, prompt, and retrieval step. Monitor Behavioral Reliability Detect and flag hallucinations, decision drift, prompt degradation, or tool misuse in real time. Integrate with Evaluation Frameworks Work with LLM eval tools like TruLens, Ragas, Arize AI, and custom scoring systems for continuous quality monitoring. Ensure Compliance & Auditability Implement observability features for regulatory audits (e.g., PCI-DSS, GDPR), including secure logging of prompts, retrieved context, and decisions. Cost & Resource Observability Track model/API usage, compute cost, and token consumption to enable optimization decisions. Collaborate Across Teams Partner with AgentOps Engineers, AI Interaction Engineers, and Model Reliability teams to turn observability insights into operational improvements. SKILLS & QUALIFICATIONS Must-Have: 35 years in SRE, DevOps, AI infrastructure, or ML systems engineering. Proficiency in Python and observability stacks (Prometheus, OpenTelemetry, Grafana, ELK, etc.). Familiarity with LLM architectures, multi-agent orchestration frameworks (LangGraph, LangChain, AgentBridge), and context pipelines. Experience with logging, tracing, and performance profiling for distributed systems. Understanding of LLM evaluation metrics (factuality, coherence, toxicity, cost efficiency). Knowledge of privacy and compliance standards for AI systems. Good-to-Have: Hands-on experience with LLM eval tools (TruLens, Ragas, Arize AI, Weights & Biases). Familiarity with RAG, vector databases, and knowledge graph-based retrieval. Experience in regulated industries (BFSI, healthcare, GRC). Background in anomaly detection or behavioral monitoring for ML systems. CAREER GROWTH & BENEFITS Continuous Learning & Growth Training and certifications in AI observability, LLM evaluation, and Responsible AI. Hands-on exposure to enterprise-scale agentic infrastructure. Recognition & Rewards Incentives for innovations in AI observability and monitoring. Fast-track opportunities into AI Reliability Architecture or Model Ops Leadership roles. Work Benefits & Well-Being Comprehensive medical insurance and project-based allowances. Cab facilities for women employees and special project perks. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: Obsessed with Adoption Making AI accessible and enterprise-ready. Obsessed with Simplicity Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.,