Sr Full Stack Engineer – Generative AI & Python

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.