Overview

Join our team as a Grade 27 Software Engineer, where you'll drive innovation in AI-powered solutions and claims testing automation.

Responsibilities

• Architect, develop, and deploy large-scale AI and data-driven applications using Python and relevant frameworks
• Lead the design and implementation of agentic AI workflows, prompt engineering, and retrieval augmented generation (RAG) patterns
• Integrate generative AI solutions with enterprise databases (PostgreSQL, Oracle, Vector DBs like ChromaDB) and cloud platforms
• Build and optimize CI/CD pipelines (GitHub Actions, Jenkins) for production-scale deployment and reliability
• Collaborate with cross-functional teams to deliver AI-powered features, including natural language querying, data comparison, and visualization
• Develop automation scripts and utilities to streamline data processing, archiving, and system maintenance
• Establish and enforce best practices in code review, testing, and documentation for AI and data engineering projects
• Participate in customer presentations, handle critical issues, and provide technical insights on AI solutions
• Use approved GenAI tools, including Copilot or equivalent enterprise-authorized tools, to accelerate ideation, code generation, test generation, documentation, debugging, and productivity improvements
• Apply AI-assisted development techniques responsibly to improve code clarity, maintainability, testability, and engineering flow while validating outputs before use
• Develop scripts, utilities, workflow automations, and internal productivity accelerators that reduce repetitive work and improve engineering effectiveness
• Follow responsible AI, privacy, security, intellectual property, and data handling expectations when using AI tools
• Stay current with emerging GenAI engineering practices, prompt patterns, agentic workflows, and AI-enabled SDLC opportunities relevant to assigned products
• Design, develop, and deploy AI-enabled or automation-enabled solutions using approved no-code, low-code, and advanced engineering platforms where they create measurable value
• Translate business needs into fit-for-purpose technical solutions that improve product capabilities, workflows, decision support, operational efficiency, or developer productivity
• Prototype quickly, validate assumptions with stakeholders, and convert successful prototypes into maintainable, secure, and scalable solutions
• Design and implement automated claims testing solutions, leveraging Python and AI to validate claims processing workflows and ensure accuracy
• Develop and maintain test automation frameworks for claims-related systems, integrating with CI/CD pipelines for continuous testing
• Collaborate with QA and business analysts to define test cases, automate regression testing, and monitor test coverage
• Analyze claims data using AI and machine learning techniques to identify anomalies, optimize processing, and improve system reliability
• Provide technical leadership in claims testing automation, mentoring team members and driving process improvements

Qualifications

• B.E, B.Tech, MCA
• Bachelor's degree, graduate degree, or equivalent practical experience in computer science, engineering, information technology, or a related field
• 4+ years of hands-on experience in Python software engineering, with a solid focus on AI and data solutions
• Gen AI, Claude and ChatGPT, Python, Agentic AI Workflow exposure
• Deep knowledge of generative AI frameworks: LLM orchestration, agentic AI, prompt engineering, and RAG patterns
• Proficiency in database integration: PostgreSQL, Oracle, Vector DBs (ChromaDB)
• Expertise in DevOps tools: GitHub Actions, Jenkins, Airflow, CI/CD pipelines
• Familiarity with cloud deployment and Kubernetes-hosted applications
• Solid background in automation, data pipelines, and microservice architecture
• Demonstrated ability to deliver AI-powered web applications.

Nice to have

• Foundational experience with cloud platforms such as AWS, Azure, or GCP, including deployment, configuration, or operational support of cloud-hosted applications