Principal Software Engineer AIML

Role Hands-On Architect/Principal Software Engineer - AI/ML
Key Skills: Hands-on coding required AI/ML (Agentic AI) AWS GCP Python Mandatory with any other programming language
Location Frisco TX (3-4 Days Onsite)

Job Description:
10 years of professional software development experience with a significant portion in a technical leadership role.
Extensive hands-on experience in designing building and operating large-scale distributed internet services.
Proven experience in developing and deploying agentic AI systems and AI/ML models into production environments. This includes familiarity with the end-to-end MLOps lifecycle and modern LLM-based architectures.
Strong proficiency in multiple programming languages such as Python Java Go Rust C or similar.
Deep understanding of full-stack development including front-end technologies (e.g. JavaScript TypeScript Dart React Flutter) and back-end technologies (gRPC protobuf).
Experience with cloud platforms (AWS Azure or GCP) and containerization technologies (Docker Kubernetes) as a primary deployment model.
Advanced Cloud & K8s Infrastructure: Deep expertise in Kubernetes (Helm ArgoCD) advanced cloud networking (Ingress Calico) Zero Trust Security (OPA) Service Mesh (Istio/Linkerd) and eBPF (Cilium) for high-performance observability and traffic management.
Solid understanding of database technologies (SQL and NoSQL).
Demonstrated use of AI productivity tools (GitHub Copilot Claude ChatGPT etc.) to accelerate software development.
Bias for action: proven track record of fast iterative incremental delivery over analysis paralysis.
Business outcome orientation: focus on delivering value and measurable results not just technical outputs.
Excellent problem-solving analytical and technical troubleshooting skills.
Strong communication interpersonal and leadership abilities.
Ability to thrive in a fast-paced agile environment with a strong hands-on coding presence.

Job Responsibilities:
Lead the design development and deployment of scalable resilient and high-performance software solutions with a focus on agentic AI/ML capabilities.
Provide hands-on technical leadership throughout the entire software development lifecycle from concept and design to testing deployment and operational support.
Architect and build full-stack applications and services that operate on an internet scale ensuring high availability and low latency on modern cloud platforms (AWS Azure GCP).
Drive the technical vision and strategy for AI/ML-powered features and products translating business requirements into robust technical designs with rapid iteration and incremental delivery.
Mentor and guide a team of software engineers fostering a culture of technical excellence innovation collaboration speed and AI-augmented productivity.
Collaborate closely with product managers data scientists researchers and other engineering teams to deliver impactful solutions aligned with business goals.
Leverage AI-assisted development tools and practices to accelerate delivery (GitHub Copilot Claude Code LLM-powered workflows).
Champion best practices in software engineering including code quality testing CI/CD and DevOps with a pragmatic outcome-driven approach.
Stay current with emerging technologies and industry trends particularly in AI/ML agentic and LLM-based systems multi-agent architectures distributed systems and cloud computing.
Contribute to code reviews design discussions and architectural decisions with hands-on involvement in implementation.
Troubleshoot and resolve complex technical issues in production environments.