About the Role
About The Role
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.
About You
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.
Requirements
Technical Leadership
10+ years of professional software development experience with a significant portion in a technical leadership role.
AI/ML Expertise
Proven experience in developing and deploying agentic AI systems and AI/ML models into production environments.
Full-Stack Development
Deep understanding of full-stack development, including front-end and back-end technologies.
Cloud Platforms
Experience with cloud platforms such as AWS, Azure, or GCP.
Containerization
Familiarity with containerization technologies like Docker and Kubernetes.
Nice to Have
Strong proficiency in multiple programming languages such as Python, Java, Go, Rust, or C++.
Familiarity with the end-to-end MLOps lifecycle and modern LLM-based architectures.
Benefits
Hybrid Work Model
Flexibility to work from home and onsite as needed.
Mentorship Opportunities
Chance to mentor and guide a team of talented engineers.