Job title: Full Stack Developer Location: Irving, TX Duration: Long-term
ROLE SUMMARY: We are seeking a Full Stack Developer AI & Cloud to design, build, and deploy scalable enterprise applications at the intersection of Java/Python server-side development, AWS cloud services, and AI/LLM edge deployments.
KEY RESPONSIBILITIES: Design and develop robust server-side applications and RESTful microservices using Java (Spring Boot) and Python, ensuring scalability, security, and high availability across distributed systems. Architect and deploy cloud-native solutions on AWS leveraging services including Lambda, ECS, API Gateway, SageMaker, S3, and EventBridge. Fine-tune open-weight LLM models (e.g., LLaMA, Mistral, Phi) using frameworks such as Hugging Face PEFT and LoRA for domain-specific enterprise use cases. Deploy and manage AI/LLM inference runtimes on edge devices including laptops, on-premise servers, and network routers using tools such as Ollama, llama.cpp, or TensorRT-LLM. Build and maintain CI/CD pipelines for containerized microservices and edge AI model deployments using Docker, Kubernetes, and AWS DevOps tooling. Conduct code reviews, contribute to architectural decisions, and mentor junior engineers on AI-integrated full stack development practices.
REQUIRED QUALIFICATIONS: 10+ years of full stack development experience with strong server-side proficiency in Java (Spring Boot) and Python. Telecom Industry experience is a must. Hands-on experience building and deploying microservices on AWS, including services such as Lambda, ECS, API Gateway, and SageMaker. Demonstrated experience fine-tuning LLM models using Hugging Face Transformers, PEFT, or LoRA. Proven ability to deploy and optimize LLM inference on edge devices (CPU/edge GPU) using runtimes such as Ollama, llama.cpp, or ExecuTorch. Proficiency with containerization and orchestration tools including Docker and Kubernetes. Strong understanding of RESTful API design, event-driven architectures, and distributed microservices patterns.
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ROLE SUMMARY: We are seeking a Full Stack Developer AI & Cloud to design, build, and deploy scalable enterprise applications at the intersection of Java/Python server-side development, AWS cloud services, and AI/LLM edge deployments.
KEY RESPONSIBILITIES: Design and develop robust server-side applications and RESTful microservices using Java (Spring Boot) and Python, ensuring scalability, security, and high availability across distributed systems. Architect and deploy cloud-native solutions on AWS leveraging services including Lambda, ECS, API Gateway, SageMaker, S3, and EventBridge. Fine-tune open-weight LLM models (e.g., LLaMA, Mistral, Phi) using frameworks such as Hugging Face PEFT and LoRA for domain-specific enterprise use cases. Deploy and manage AI/LLM inference runtimes on edge devices including laptops, on-premise servers, and network routers using tools such as Ollama, llama.cpp, or TensorRT-LLM. Build and maintain CI/CD pipelines for containerized microservices and edge AI model deployments using Docker, Kubernetes, and AWS DevOps tooling. Conduct code reviews, contribute to architectural decisions, and mentor junior engineers on AI-integrated full stack development practices.
REQUIRED QUALIFICATIONS: 10+ years of full stack development experience with strong server-side proficiency in Java (Spring Boot) and Python. Telecom Industry experience is a must. Hands-on experience building and deploying microservices on AWS, including services such as Lambda, ECS, API Gateway, and SageMaker. Demonstrated experience fine-tuning LLM models using Hugging Face Transformers, PEFT, or LoRA. Proven ability to deploy and optimize LLM inference on edge devices (CPU/edge GPU) using runtimes such as Ollama, llama.cpp, or ExecuTorch. Proficiency with containerization and orchestration tools including Docker and Kubernetes. Strong understanding of RESTful API design, event-driven architectures, and distributed microservices patterns.
For applications and inquiries, contact: [email protected]
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