Senior Software Engineer
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Role details
Tech stack
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Job description
We are seeking a highly experienced Senior Software Engineer with 10-14 years of professional experience to design, develop, and optimize advanced AI agent solutions in the payer domain. This role focuses on leveraging large language models, Java, Python, Spring Boot, and Node.js to build secure, scalable, and compliant platforms that improve healthcare outcomes and operational efficiency. Working in a hybrid model, you will collaborate with cross-functional teams to deliver innovative solutions that drive measurable impact for customers and society., + Design and implement production-grade AI agent workflows leveraging large language models to automate payer domain processes.
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Develop and optimize backend microservices using Java and Spring Boot for resilient, scalable APIs supporting AI-driven features.
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Build and maintain Node.js services and integration layers for seamless communication across platforms and partners.
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Create robust Python components for data preprocessing, feature engineering, and model orchestration.
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Apply advanced prompt engineering techniques to maximize model relevance, accuracy, and safety in payer-specific use cases.
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Collaborate with product owners, architects, and data scientists to translate business requirements into technical designs.
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Implement secure coding practices and data protection mechanisms to safeguard protected health information (PHI).
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Conduct code reviews, unit tests, integration tests, and performance tests to ensure high-quality deliverables.
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Optimize application performance and scalability through profiling, tuning, and concurrency improvements.
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Document system designs, API contracts, runbooks, and AI behavior guidelines for transparency and auditability.
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Partner with DevOps teams to containerize services, configure CI/CD pipelines, and monitor production systems.
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Collaborate with compliance and security teams to ensure adherence to payer regulations and organizational policies.
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Mentor junior engineers to foster engineering excellence and responsible AI delivery.
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Partner with stakeholders to measure the impact of AI-driven features on cost of care, processing speed, and member satisfaction.
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Engage in continuous learning on emerging AI techniques, LLM capabilities, and payer industry trends.
Requirements
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10-14 years of professional software engineering experience , with a strong focus on large-scale backend systems.
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Deep hands-on expertise with large language models, AI agents, and prompt engineering.
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Advanced proficiency in Java and Spring Boot for cloud-ready microservices.
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Strong skills in Node.js for event-driven and API-centric applications.
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Proficiency in Python for data processing and model orchestration.
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Experience in payer or healthcare insurance domains, including claims processing and regulatory constraints.
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Solid knowledge of software design principles, microservice patterns, and integration best practices.
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Practical experience with CI/CD pipelines, containerization, and monitoring tools.
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Strong communication skills to explain AI system behavior and limitations to nontechnical stakeholders.
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Excellent analytical and problem-solving skills for complex payer workflows.
Benefits & conditions
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
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Medical/Dental/Vision/Life Insurance
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Paid holidays plus Paid Time Off
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401(k) plan and contributions
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