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 a

Director of Engineering – Agentic Systems

to lead our engineering teams in building and delivering secure, scalable, and high-performance AI agent platforms.This role will focus on

execution excellence, technical leadership, and cross-team coordination

— ensuring our agentic AI solutions meet the reliability, compliance, and performance demands of enterprise and regulated industries.If you have a proven track record in

scaling engineering teams, driving delivery, and fostering technical excellence

, this is an opportunity to shape the execution backbone of a next-generation AI company.

Responsibilities

Engineering Leadership

Lead and mentor multiple engineering teams, including:

Agent Architecture
AI Interaction Engineering
AgentOps & Observability
Forward Deployed Engineering

Translate product vision and business goals into actionable engineering roadmaps.
Ensure engineering decisions align with enterprise-scale performance, compliance, and scalability standards.

Execution & Delivery

Oversee sprint planning, resource allocation, and delivery schedules.
Ensure high-quality, secure, and reliable software releases.
Drive adoption of best practices for CI/CD, testing, and AI model deployment.
Track and improve engineering velocity, quality, and operational metrics.

Technical Oversight

Guide architectural decisions for multi-agent orchestration, RAG pipelines, and context/memory systems.
Ensure optimal infrastructure design for cost, latency, and scalability.
Embed observability, security, and governance into all deployments.

Cross-Functional Collaboration

Work closely with product management, customer success, and forward-deployed teams to ensure alignment between customer needs and engineering priorities.
Support strategic customer engagements where deep technical guidance is required.

Must-Have

SKILLS & QUALIFICATIONS

10+ years in software engineering, with 3–5 years in engineering leadership roles.
Proven experience delivering large-scale AI, ML, or distributed systems.
Strong understanding of LLM architectures, agent orchestration frameworks (LangChain, LangGraph, AgentBridge), and AI infrastructure.
Experience managing teams across architecture, development, and deployment.
Proficiency in cloud-native architectures (AWS, GCP, Azure, Kubernetes).

Good-to-Have

Experience in BFSI, GRC, SOC, or other regulated industries.
Familiarity with AI observability and evaluation frameworks (Prometheus, OpenTelemetry, TruLens, Ragas).
Understanding of AI model lifecycle management and governance.
Hands-on experience with multi-agent orchestration patterns.

CAREER GROWTH & IMPACT

Opportunity to evolve into Vice President of Engineering as the company scales.
Direct influence on the delivery and reliability of category-defining Agentic AI platforms.
Lead engineering transformation in enterprise AI adoption across global clients.

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