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Principal Agentic AI Engineer
Exavalu
1 hour ago
Full-time
On-site
California, Missouri, United States
Exavalu Solutions India Pvt Ltd | Full time
Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.
Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.
Exavalu offers permanent remote working model as we believe in going where the right talent is.
Job Description
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
Context management
AI workflow readiness
AI service integrations
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.
Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
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.
Primary Skills Programming Languages Python
Java
TypeScript
Agentic AI
Retrieval-Augmented Generation (RAG)
AI Assistants
AI Orchestration
Prompt Engineering
Frameworks & Technologies LangGraph
AI Workflow Orchestration
REST APIs
DevOps Git
Deployment Automation
Observability OpenTelemetry
Performance Optimization
Secondary Skills (Good to Have) LangChain
CrewAI
AutoGen
Semantic Kernel
Knowledge Graphs
Multi-Agent Systems
Docker
Distributed Systems
MLOps
AI Governance
Requirements
Required Skills & Experience 10+ years of software engineering, platform engineering, or AI development experience.
Recent hands-on coding experience in production environments.
Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
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.
Primary Skills Programming Languages Python
Java
TypeScript
Agentic AI
Retrieval-Augmented Generation (RAG)
AI Assistants
AI Orchestration
Prompt Engineering
Frameworks & Technologies LangGraph
AI Workflow Orchestration
REST APIs
DevOps Git
Deployment Automation
Observability OpenTelemetry
Performance Optimization
Secondary Skills (Good to Have) LangChain
CrewAI
AutoGen
Semantic Kernel
Knowledge Graphs
Multi-Agent Systems
Docker
Distributed Systems
MLOps
AI Governance
Diversity Inclusion: 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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Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.
Exavalu offers permanent remote working model as we believe in going where the right talent is.
Job Description
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
Context management
AI workflow readiness
AI service integrations
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.
Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
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.
Primary Skills Programming Languages Python
Java
TypeScript
Agentic AI
Retrieval-Augmented Generation (RAG)
AI Assistants
AI Orchestration
Prompt Engineering
Frameworks & Technologies LangGraph
AI Workflow Orchestration
REST APIs
DevOps Git
Deployment Automation
Observability OpenTelemetry
Performance Optimization
Secondary Skills (Good to Have) LangChain
CrewAI
AutoGen
Semantic Kernel
Knowledge Graphs
Multi-Agent Systems
Docker
Distributed Systems
MLOps
AI Governance
Requirements
Required Skills & Experience 10+ years of software engineering, platform engineering, or AI development experience.
Recent hands-on coding experience in production environments.
Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
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.
Primary Skills Programming Languages Python
Java
TypeScript
Agentic AI
Retrieval-Augmented Generation (RAG)
AI Assistants
AI Orchestration
Prompt Engineering
Frameworks & Technologies LangGraph
AI Workflow Orchestration
REST APIs
DevOps Git
Deployment Automation
Observability OpenTelemetry
Performance Optimization
Secondary Skills (Good to Have) LangChain
CrewAI
AutoGen
Semantic Kernel
Knowledge Graphs
Multi-Agent Systems
Docker
Distributed Systems
MLOps
AI Governance
Diversity Inclusion: 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.
#J-18808-Ljbffr