Software Engineer Full Stack Python

ClinDCast LLC; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

ClinDCast LLC in Dallas, Texas is seeking an experienced Software Engineer with over 8 years in the field. The role focuses on developing and maintaining core components for Agentic AI systems, particularly scalable microservices and APIs. The ideal candidate should possess strong skills in Python and experience with cloud-native applications, alongside knowledge of AI integration frameworks such as LangChain or LangGraph.

This position demands hands-on experience with technology such as Docker, Kubernetes, and CI/CD automation to ensure platform reliability and performance.

Qualifications

• 8+ years of software engineering experience.
• Strong Python skills and knowledge of Java, Go, or TypeScript.
• Experience building REST/gRPC APIs and microservices on cloud platforms.

Responsibilities

• Develop scalable microservices and APIs for Agentic AI systems.
• Integrate AI models and ensure platform reliability through testing.
• Automate CI/CD processes and maintain observability.

Skills

Python

Java

Go

TypeScript

AWS/Azure

Docker

Kubernetes

Terraform

CloudFormation

Pulumi

Tools

LangChain

LangGraph

Job description

Job Summary

Seeking a Software Engineer with 8+ years of experience to build and maintain core platform components for Agentic AI systems. The role involves developing scalable microservices, APIs, and orchestration frameworks for LLM-powered applications, integrating AI models, and ensuring platform reliability through testing, observability, and CI/CD automation. The ideal candidate has strong Python expertise, cloud-native development experience, and hands‑on knowledge of AI/LLM integration frameworks such as LangChain or LangGraph.

Required Skills

• 8+ years of software engineering experience with strong Python skills and working knowledge of Java, Go, or TypeScript.
• Hands‑on experience building REST/gRPC APIs, microservices, and cloud-native applications on AWS/Azure using Docker, Kubernetes, Terraform/CloudFormation/Pulumi, and CI/CD pipelines.
• Experience with LLM integration, prompt engineering, or AI/ML application development, including frameworks like LangChain, LangGraph, or similar orchestration tools.