AI/ML Engineer - AI and Java Spring

Architect, develop, and deploy large-scale AI and data-driven applications using Python and relevant frameworksLead the design and implementation of agentic AI workflows, prompt engineering, and retrieval augmented generation (RAG) patternsIntegrate generative AI solutions with enterprise databases (PostgreSQL, Oracle, Vector DBs like ChromaDB) and cloud platformsBuild and optimize CI/CD pipelines (GitHub Actions, Jenkins) for production-scale deployment and reliabilityCollaborate with cross-functional teams to deliver AI-powered features, including natural language querying, data comparison, and visualizationDevelop automation scripts and utilities to streamline data processing, archiving, and system maintenanceEstablish and enforce best practices in code review, testing, and documentation for AI and data engineering projectsParticipate in customer presentations, handle critical issues, and provide technical insights on AI solutionsComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so AI Builder

Use approved GenAI tools, including Copilot or equivalent enterprise-authorized tools, to accelerate ideation, code generation, test generation, documentation, debugging, and productivity improvementsApply AI-assisted development techniques responsibly to improve code clarity, maintainability, testability, and engineering flow while validating outputs before useDevelop scripts, utilities, workflow automations, and internal productivity accelerators that reduce repetitive work and improve engineering effectivenessFollow responsible AI, privacy, security, intellectual property, and data handling expectations when using AI toolsStay current with emerging GenAI engineering practices, prompt patterns, agentic workflows, and AI-enabled SDLC opportunities relevant to assigned products Builder

Design, develop, and deploy AI-enabled or automation-enabled solutions using approved no-code, low-code, and advanced engineering platforms where they create measurable valueTranslate business needs into fit-for-purpose technical solutions that improve product capabilities, workflows, decision support, operational efficiency, or developer productivityPrototype quickly, validate assumptions with stakeholders, and convert successful prototypes into maintainable, secure, and scalable solutionsDesign and implement automated claims testing solutions, leveraging Python and AI to validate claims processing workflows and ensure accuracyDevelop and maintain test automation frameworks for claims-related systems, integrating with CI/CD pipelines for continuous testingCollaborate with QA and business analysts to define test cases, automate regression testing, and monitor test coverageAnalyze claims data using AI and machine learning techniques to identify anomalies, optimize processing, and improve system reliabilityProvide technical leadership in claims testing automation, mentoring team members and driving process improvementsRequired Qualifications: B.E, B.Tech, MCABachelor's degree, graduate degree, or equivalent practical experience in computer science, engineering, information technology, or a related field4+ years of hands-on experience in Python software engineering, with a solid focus on AI and data solutionsExperience with modern web frameworksGen AI, Claude and ChatGPT, Python, Agentic AI Workflow exposureDeep knowledge of generative AI frameworks: LLM orchestration, agentic AI, prompt engineering, and RAG .