Job Description

We are seeking a talented AI Software Engineer to develop and deploy machine learning models across various applications. The role involves working with large datasets, building scalable ML pipelines, and integrating models into production systems. The ideal candidate will collaborate closely with data scientists and product teams to deliver AI-driven solutions that enhance user experience and operational efficiency. Strong programming skills, knowledge of ML frameworks, and experience in cloud-based deployment are essential.

• Work as a Generative AI engineer developing enterprise-scale AI applications
• Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks
• Lead Gen AI initiatives focused on developing intelligent agents and conversational systems
• Design and build robust LLM interfaces and orchestration pipelines
• Develop evaluation frameworks to measure and improve model performance
• Implement prompt engineering techniques to optimize model outputs
• Integrate Gen AI capabilities with existing enterprise applications
• Build and maintain frontend interfaces for AI applications
• Contribute to large scale planning of AI strategies and roadmaps
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
• Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph)
• Basic Knowledge of model context protocols, RAG architectures, and embedding techniques
• Experience with model evaluation frameworks and metrics for LLM performance
• Proficiency in frontend development with React.js for AI applications
• Experience with UI/UX design patterns specific to AI interfaces
• Experience with vector databases and efficient retrieval methods
• Knowledge of prompt engineering techniques and best practices
• Experience with containerization and microservices architecture
• Strong understanding of semantic search and document retrieval systems
• Working knowledge of both structured and unstructured data processing
• Experience with version control using GitHub and CI/CD pipelines
• Experience working with globally distributed teams in Agile scrums
• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
• Identify opportunities for service quality and availability improvements within the technology domain environment
• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
• Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
• Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
• Provide information to technology colleagues, internal partners, and stakeholders