Software Engineer III - AI/ML

About the Role

Key Responsibilities

• Lead the architecture, design, and implementation of robust data pipelines and infrastructure supporting large-scale AI and machine learning initiatives.
• Drive the integration and optimization of advanced AI services, including AWS Bedrock, Large Language Models (LLMs), and internal platforms (Salesforce, Tableau, Slack).
• Collaborate closely with data scientists and machine learning engineers to optimize model deployments, refine feature engineering strategies, and ensure seamless operationalization of predictive and conversational AI solutions.
• Develop and enhance advanced real-time analytics workflows focused on conversational intelligence, sentiment analysis, and predictive troubleshooting.
• Ensure best practices in data quality, security, compliance, and governance are consistently applied across all AI-driven environments.
• Create and maintain comprehensive tooling and infrastructure to facilitate efficient testing, debugging, monitoring, and continuous improvement of AI applications.
• Establish and lead comprehensive observability frameworks (logs, metrics, alerts) to maintain system reliability, performance, and actionable operational insights.
• Proactively participate and provide technical leadership in code reviews, strategic planning, and technical architecture discussions, aligning closely with business objectives.
• Prototype, develop, and refine advanced, user-friendly UI screens and dashboards, enabling customer success teams to leverage AI-driven insights effectively.

Requirements

• 6 - 10 years of professional experience in data engineering, specifically supporting complex AI, ML, or NLP-driven systems.
• Deep expertise with cloud technologies (AWS highly preferred), specifically AWS Bedrock, Redshift, MongoDB, and S3.
• Advanced proficiency in Python, SQL, and orchestration tools such as Airflow or Prefect, managing sophisticated AI-driven workflows.
• Proven experience integrating and operationalizing Large Language Models (LLMs) and sophisticated machine learning systems in production.
• Extensive experience with microservices architecture, RESTful APIs, and real-time data streaming technologies (Kafka, Kinesis).
• Robust experience with observability tools, CI/CD pipelines, and the reliability and continuous deployment of large-scale AI systems.
• Strong problem-solving and analytical skills, adept at navigating ambiguity, driving technical clarity, and collaborating effectively across diverse technical and business-focused teams.

Nice to Have

• Extensive experience with AWS Bedrock or equivalent managed AI and NLP services.
• Demonstrated track record of developing and operationalizing real-time AI analytics, predictive troubleshooting tools, and advanced NLP-driven applications.
• Experience working with Salesforce or other related products or a firm understanding of customer success workflows.
• Significant background in AI-driven customer service solutions, including chatbots, conversational analytics, and contact center technologies.
• Familiarity and experience with sentiment analysis, predictive modeling, and dynamic analytics in consumer-facing environments.
• Strong front-end development experience using modern frameworks (React, Angular, Vue) and deep familiarity with UI/UX design principles.
• Passionate about emerging AI trends, best practices in data engineering, and their application in dynamic industries such as gaming, sports betting, or customer engagement.