Agentic AI Python Developer

NAM Info Inc; Texas; On-site; USD 140,000 - 200,000; Full time

Job summary

NAM Info Inc. is seeking engineers with strong Python and Java skills to develop and support production-grade AI-powered applications. The role focuses on building agentic AI solutions, integrating tools, and orchestrating multi-agent workflows in enterprise environments.

You will work with LangGraph, vLLM, and related AI tech, designing scalable microservices, APIs, and robust production monitoring. A strong emphasis on governance, security, and production stability is expected.

Qualifications

• Strong proficiency in Python and Java; hands-on development and production-grade apps.
• Experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.
• Hands-on experience with LangGraph and vLLM in real-world projects.
• Experience designing and orchestrating multi-agent workflows, tool integrations, and autonomous decision-making frameworks.
• Ability to develop, test, and optimize AI-driven applications leveraging LLMs, agent frameworks, and retrieval.
• Strong understanding of API development, microservices, and integration patterns in modern software ecosystems.
• Experience troubleshooting, monitoring, and supporting AI-enabled apps in production.
• Familiarity with responsible AI, governance, security, and enterprise standards.

Responsibilities

• Develop, test, and optimize AI-driven applications using LLMs and agent frameworks.
• Design and orchestrate multi-agent workflows and tool integrations.
• Build and maintain production-grade services with strong monitoring and reliability.
• Ensure API and microservice integration patterns meet enterprise standards.
• Troubleshoot production AI applications and support operations.

Skills

Python

Java

Agentic AI systems

MCP (Model Context Protocol)

Bot/server-side systems

Containerization and orchestration

AWS

Data & Streaming

Kafka

NoSQL databases

Real-time streaming architectures

DevOps & Operations

CI/CD pipeline development and mgmt

Testing strategies

Monitoring and alerting

Production Support

Production stability

Tools

LangGraph

vLLM

Job description

Strong proficiency in Python and Java, with hands-on experience developing and supporting production-grade applications.

Demonstrated experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.

Hands-on experience with the following technologies:

• Python
• Java
• LangGraph
• vLLM

Experience designing and orchestrating multi-agent workflows, tool integrations, and autonomous decision-making frameworks.

Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities.

Strong understanding of API development, microservices architectures, and integration patterns within modern software ecosystems.

Experience troubleshooting, monitoring, and supporting AI-enabled applications in production environments.

Familiarity with responsible AI practices, model governance, security considerations, and enterprise development standards.

Core Technical Skill Set

Candidates should have experience with:

• Development & AI
• Python and/or Java
• Agentic AI systems
• Understanding of MCP (Model Context Protocol)
• Bot/server-side systems
• Containerization and orchestration
• AWS (preferred)
• Data & Streaming
• Kafka
• NoSQL databases
• Real-time streaming architectures
• DevOps & Operations
• CI/CD pipeline development and management
• Testing strategies
• Monitoring and alerting
• Production Support
• Strong focus on production stability

Monitoring tools such as:

• Splunk
• Dynatrace

Candidates should be proficient in AI concepts and technologies.

AI expertise is important, although it may not be heavily emphasized during interviews.