Senior Software Engineer - AI/ML Platform

Job Description

We are seeking a skilled and experienced Senior Software Engineer for the AI/ML Platform Engineer role within our team

Responsibilities

Design and implement a scalable AI/ML platform that seamlessly integrates with existing CI/CD pipelines and data platforms, ensuring optimal performance and reliability
Lead the design and development of a unified chatbot platform backed by multiple agents, implementing RBAC systems for secure agent/LLM access control
Build a comprehensive AI agent ecosystem with scalable agentic operations, including frameworks for iterative agent improvement with measurable performance metrics for instructions, tools, and prompts etc.
Develop and implement innovative LLM applications (RAG, Agentic workflows) to enhance productivity, system efficiency, and cost-effectiveness across Fanatics ecosystem
Research, evaluate, and implement no-code agent orchestration tools to democratize AI workflow creation across the organization
Implement end-to-end user interaction tracking, audit logging, and cost attribution systems with monthly reporting capabilities for team usage monitoring
Create comprehensive technical documentation, architecture/design documents, developer guides, and operational procedures to ensure knowledge transfer and system maintainability
Collaborate with data scientists, software engineers, and cross-functional teams while mentoring junior members and leading code reviews to maintain high quality standards

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years industry experience including 2+ years in AI/ML operations/platform development
Proficiency in programming languages (Java/Python/GoLang/Scala) and ML libraries (TensorFlow, PyTorch, Scikit-learn) with hands-on Terraform infrastructure as code experience
Experience with Data governance systems, like Datahub and MCP (Model Context Protocol) server integrations
Experience working with large language models (LLMs), generative AI, and platforms like AWS Bedrock, Google Vertex AI, or similar cloud AI services
Experience with Kubernetes container orchestration, Airflow DAGs for workflow management, and agentic AI systems or multi-agent orchestration
Knowledge of role-based access control (RBAC) systems, security best practices for AI platforms, and cost optimization for cloud-based AI/ML services
Advanced knowledge of toolkits for data scientists, including RStudio, Sagemaker, Lambda, S3, Glue, Redshift, EC2, IAM etc.
Strong problem-solving, analytical, communication, and collaboration skills with ability to work effectively in cross-functional team environments
Proven track record of technical leadership, mentoring capabilities, and driving innovation in AI/ML technologies and MLOps practices

Senior Software Engineer - AI/ML Platform

Key Skills

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