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Strong employer brand and in-demand ML role, but niche agentic-AI skills slightly reduce competition.
High due to specialized agentic AI, LLM, and production ML platform expertise required.
Explicit 7+ years plus required agentic AI, cloud, IaC, and production ML experience increases filtering.
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Design, build, deploy, and own scalable and reliable Agentic AI and software platforms and services.
Lead technical design and development of ML pipelines, Agentic AI services, and AI/LLM powered enterprise applications.
Optimize ML workflow performance and cost, collaborate with cross-functional teams, implement security best practices, and provide technical leadership.
7+ years of software development experience with object-oriented development, distributed systems, cloud-native architectures, and data platforms.
Strong expertise in Agentic AI systems: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures, with production-level delivery experience.
Advanced knowledge of major ML cloud platforms (AWS SageMaker, Databricks, Azure ML, GCP/Google Vertex AI) and Infrastructure as Code tools (Terraform or AWS CloudFormation).
Work Experience Required: 7+ years in software development.
Experienced in building and operationalizing AI-powered solutions beyond prototypes, including significant projects or customer-facing PoCs with modern agent frameworks.
Capable of designing scalable, fault-tolerant distributed systems with advanced data modeling and security best practices.
Demonstrates strong collaboration, leadership, and stakeholder management skills in cross-functional teams working on complex AI and data platform systems.