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Job Description
Structured overview of role & requirementsAbout This Role
Design and build AI-powered intelligent systems using classical AI concepts to solve enterprise business problems including search, planning, ranking, and knowledge management.
Develop scalable backend services, APIs, and data pipelines that are production-ready and integrate AI capabilities with enterprise-level applications securely and reliably.
Collaborate with stakeholders to translate ambiguous problems into scoped technical solutions; participate in design and code reviews and uphold engineering standards.
Minimum Requirements
Strong programming skills in Python; working knowledge of Java or similar language.
Solid understanding and hands-on experience of classical AI concepts such as heuristic search (A*, beam search), planning, constraint satisfaction, and knowledge representation.
Experience in building AI applications like semantic search, recommendation systems, conversational AI, or decision support solutions.
Work Experience Required: Not explicitly mentioned in the JD. Hybrid work mode requiring minimum two days per week in-office at assigned TransUnion location.
Ideal Candidate Profile
Experienced in applied AI domains including search, planning and scheduling, recommendation, and knowledge-based systems with ability to evaluate AI techniques by business impact and reliability.
Skilled in building production-grade scalable backend architectures, distributed systems, data engineering, and cloud-native applications using Azure, AWS, or GCP.
Comfortable working at the intersection of classical AI research and enterprise platform engineering, handling complex, ambiguous enterprise problems with technical and stakeholder collaboration.