Agentic AI Developer

SRM Digital; Alpharetta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

SRM Digital is seeking a skilled Python developer to design and build scalable Python-based applications and APIs. The role focuses on cloud-native solutions on AWS, microservices, event-driven architectures, and data pipelines.

You will work with product managers, data scientists, and cross-functional teams to deliver high-quality software. The ideal candidate brings strong Python/Django experience, familiarity with GraphQL, and a solid understanding of scalable, secure systems.

Qualifications

• Strong expertise in Python, Django, and GraphQL.
• Hands-on experience with AWS and cloud-native application deployment.
• Strong understanding of microservices, SOA, and event-driven/pub-sub architectures.
• Experience with PostgreSQL, GraphQL APIs, and data integration.
• Exposure to AI agents, LLM integrations, or intelligent automation is a plus.
• Familiarity with React and Apollo GraphQL is beneficial.
• Experience with Domain-Driven Design (DDD), Agile methodologies, unit/integration testing, and CI/CD.
• Ability to build secure, resilient, and high-performing applications.

Responsibilities

• Design and develop scalable Python-based applications and APIs.
• Build and maintain cloud-native solutions on AWS.
• Contribute to microservices, event-driven systems, and data pipelines.
• Collaborate with product managers, data scientists, and cross-functional engineering teams.
• Optimize application performance, reliability, and scalability.
• Follow coding best practices, participate in code reviews, and deliver high-quality solutions.

Skills

Python Development

Cloud Expertise

System Architecture

Database & APIs

AI & Agentic Systems

Full-Stack Exposure

Engineering Best Practices

Scalability & Security

Tools

GraphQL

PostgreSQL

React

Apollo GraphQL

AWS

Job description

Local candidates are highly preferred, and a client face-to-face interview is mandatory.

Key Skills & Qualifications

• Python Development: Strong expertise in Python, Django, and GraphQL.
• Cloud Expertise: Hands-on experience with AWS and cloud-native application deployment.
• System Architecture: Strong understanding of microservices, SOA, and event-driven/pub-sub architectures.
• Database & APIs: Experience with PostgreSQL, GraphQL APIs, and data integration.
• AI & Agentic Systems: Exposure to AI agents, LLM integrations, or intelligent automation is a plus.
• Full-Stack Exposure: Familiarity with React and Apollo GraphQL is beneficial.
• Engineering Best Practices: Experience with Domain-Driven Design (DDD), Agile methodologies, unit/integration testing, and CI/CD.
• Scalability & Security: Ability to build secure, resilient, and high-performing applications.

What You’ll Do

Design and develop scalable Python-based applications and APIs.

Build and maintain cloud-native solutions on AWS.

Contribute to microservices, event-driven systems, and data pipelines.

Collaborate with product managers, data scientists, and cross-functional engineering teams.

Optimize application performance, reliability, and scalability.

Follow coding best practices, participate in code reviews, and deliver high-quality solutions.