Principal Engineer - AI/ML

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.

• 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.

• Preferred: Contributions to open-source projects.

• Preferred: Experience working at FAANG (Facebook, Amazon, Apple, Netflix, Google) or other leading Big Tech companies.

• Preferred: Experience with big data technologies (e.g., Data Bricks, Snowflake, Big Query, Spark, Hadoop, Kafka, etc.).

• Preferred: Experience in the cybersecurity domain.

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