Lead a technical SWAT pod to architect, build, and deploy production-grade Agentic AI solutions and intelligent workflows. Mentor engineering staff while driving technical consistency and best practices across multiple AI workstreams.
This is a remote position.
Overview
We are seeking an experienced Agentic AI Technical Lead to lead a high-impact Agentic AI SWAT Pod responsible for delivering next-generation AI solutions across strategic business use cases.
This is a hands-on technical leadership role where you will architect, build, review, troubleshoot, and deploy production-grade AI applications while mentoring a compact engineering team. You will drive the adoption of modern Agentic AI architectures, intelligent workflows, Retrieval-Augmented Generation (RAG), and orchestration frameworks to deliver scalable enterprise AI solutions.
The ideal candidate should possess a strong software engineering background with recent hands-on coding experience in AI applications and have successfully delivered production-grade LLM, RAG, or Agentic AI solutions.
Key Responsibilities
Technical Leadership
Lead a compact Agentic AI SWAT Pod across multiple AI use-case tracks.
Drive technical architecture and implementation for enterprise Agentic AI solutions.
Select the most appropriate solution architecture using:
Agentic AI
Workflow Automation
Retrieval-Augmented Generation (RAG)
Application Logic
Hybrid AI Patterns
Mentor engineers, conduct code reviews, and establish engineering best practices.
Parallelize delivery across multiple workstreams while ensuring technical consistency.
AI Solution Development
Design and develop production-ready AI agents and autonomous workflows.
Build intelligent AI systems using:
Large Language Models (LLMs)
Agentic AI
RAG architectures
Multi-agent orchestration
Develop reusable AI components and reference implementations.
Own critical code paths and contribute to hands-on software development.
Agent Orchestration & Integration
Take ownership of:
Agent orchestration
MCP (Model Context Protocol) tools
Context management
Prompt orchestration
Retrieval pipelines
AI workflow readiness
AI service integrations
Engineering Excellence
Design scalable, secure, and maintainable AI platforms.
Troubleshoot production issues and optimize AI workloads.
Implement CI/CD best practices for AI applications.
Build observability into AI systems using modern monitoring frameworks.
Ensure engineering quality through testing, code reviews, and deployment automation.
Required Skills & Experience
10+ years of software engineering, platform engineering, or AI development experience.
Recent hands-on coding experience in production environments.
Proven experience delivering:
Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
AI Assistants / Intelligent Agents
Strong software engineering fundamentals.
Experience building scalable enterprise AI applications.
Strong understanding of API development, cloud-native architecture, and distributed systems.
Experience implementing CI/CD pipelines and production monitoring.
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.
Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.
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