Member Technical Staff (Java, SQL, Platform Development)
Model N · Hyderabad, Telangana, India
Software Development · 501-1,000 employees
About the role
Develop and maintain features, reusable components, and RESTful APIs according to specified requirements. Ensure code quality through JUnit testing and participate in performance tuning as needed.
What they look for
Requirements
Requires 2-4 years of software development experience with strong Java and SQL skills. Candidates should have experience with enterprise application servers and a willingness to learn AI-driven backend technologies.
Full description
Model N, Inc. is looking for a junior developer for its Life Science platform. The candidate should be hands-on with Java and related technologies, with a willingness to learn modern backend patterns, including AI-enhanced features.
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Job Responsibilities
- Develop features and code to specified requirements
- Identify and reuse existing components or define new reusable components
- Prioritize work assignments and deliver on schedule
- Write JUnit tests with adequate code coverage
- Participate in performance tuning when required
- Build and maintain RESTful APIs following platform standards
Job Qualification
- 2-4 years of relevant software development experience
- Strong object-oriented design and Java programming skills
- Enterprise application development experience with J2EE application servers, preferably WebLogic or JBoss
- Experience with Oracle, SQL required; Performance tuning is a plus
- Good understanding of browser and servlet-based application structure
- Excellent communication and interpersonal skills
- Experience with Unix or Linux preferred
- Experience with Agile methodologies a plus
- Knowledge of Web API Development using REST / GraphQL is a plus
- Knowledge of SSO implementation using SAML/OpenID protocols is a plus
- Knowledge of CI/CD, containerization, and Orchestration technologies is a plus
- Willingness to work on any technology
- Fast learner, able to pick up new ideas and approaches quickly
- BE / BTech in Computer Science, or equivalent
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AI & LLM Skills (Preferred)
- Willingness to learn and implement features powered by AI-driven insights and recommendations
- Understanding of LLM (Large Language Model) concepts and their integration into backend systems—including API consumption, prompt optimization, and result handling for server-side operations.
- Familiarity with implementing intelligent business logic: recommendation engines, predictive analytics, auto-categorization of features/workflows, and smart defaults based on LLM analysis
- Understanding of data governance and privacy requirements for AI systems—PII handling, audit logging, data retention policies, and compliance with healthcare/life science regulations.
- Knowledge of monitoring and observability for AI-enhanced backends—tracking LLM API costs, inference latency, model performance degradation, and business impact metrics.
- Familiarity with fine-tuning or prompt engineering at the backend level to optimize LLM outputs for specific use cases and to enable A/B testing of AI features.
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