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Fanatics · 4 hours ago

Software Engineer II

United States

Full-time

Remote

Mid, Senior Level

$138K/yr - $181K/yr

3+ years exp

Fanatics is building a leading global digital sports platform, and they are seeking a Software Engineer II to focus on AI and Machine Learning. The role involves architecting and enhancing data infrastructure to support AI-driven insights and collaborating with cross-functional teams to improve operational efficiency and customer engagement.

eSportsManufacturingRetailSporting GoodsSports

No H1B

Responsibilities

Architect, build, and manage robust data pipelines and infrastructure that support large-scale AI and machine learning initiatives

Develop and optimize integrations between core AI services, including AWS Bedrock, LLMs, and internal platforms (Salesforce, Tableau, Slack) for enhanced operational performance

Collaborate with applied scientists and ML engineers to refine model deployments, feature engineering, and ensure seamless operationalization of predictive and conversational AI solutions

Implement advanced data processing and real-time analytics workflows for conversational intelligence, sentiment analysis, and predictive troubleshooting

Ensure high-quality data management, emphasizing security, compliance, data governance, and maintainability within AI-driven environments

Drive tooling and infrastructure solutions that facilitate efficient testing, debugging, monitoring, and continuous improvement of AI applications

Establish comprehensive observability frameworks (logs, metrics, alerts) to maintain system reliability, performance, and operational insights

Participate actively in technical discussions, code reviews, and strategic planning to align AI infrastructure development with business goals

Proto-type and develop intuitive, user-friendly UI screens and dashboards that enable customer success teams to leverage AI-driven insights effectively

Qualification

Data engineeringAWS technologiesMachine learningJavaMicroservicesReal-time data streamingObservability toolsCustomer success workflowsUI/UX design principlesProblem-solvingCollaboration

Required

3 -7 years of professional experience focused on data engineering, specifically supporting AI, ML, or NLP-driven systems

Deep expertise in cloud technologies (AWS highly preferred), including hands-on experience with AWS Bedrock, Redshift, MongoDB, and S3

Proficiency in Java, Sprintboot, and experience with orchestration tools (Airflow, Prefect) for managing complex AI-driven workflows

Demonstrated experience integrating and operationalizing Large Language Models (LLMs) and machine learning systems within production environments

Strong understanding of microservices, RESTful API development, and real-time data streaming (Kafka, Kinesis)

Robust experience with observability tools and CI/CD pipelines, ensuring the reliability and continuous deployment of AI services

Exceptional problem-solving abilities, comfortable navigating ambiguity, and adept at collaborating across technical and business-focused teams

Preferred

Extensive experience specifically with AWS Bedrock or equivalent managed AI services

Proven track record in building real-time AI analytics systems, predictive troubleshooting tools, and advanced NLP-driven applications

Experience working with Salesforce or other related products or a firm understanding of customer success workflows

Background in customer-centric operations, including AI-driven customer service solutions, chatbots, and contact center technologies

Familiarity with sentiment analysis, conversational analytics, and predictive modeling in dynamic, consumer-facing environments

Passionate about AI trends, data engineering best practices, and their practical application in high-impact industries such as gaming, sports betting, or customer engagement platforms

Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles