3-5 years of experience in Java microservices architecture
Proficiency in integrating Generative AI and LLMOps capabilities
Experience in developing secure RESTful APIs
Familiarity with AI orchestration frameworks like LangChain
Knowledge of containerization and cloud-native technologies
Strong understanding of architecture best practices
Ability to mentor and provide technical leadership to teams
Responsibilities
Lead the design and deployment of AI-enabled Java microservices solutions
Provide architecture guidance and conduct code reviews
Collaborate with cross-functional teams to drive GenAI use cases
Manage LLMOps processes for model lifecycle and continuous improvement
Advocate for AI-assisted software development tools
Ensure secure and scalable design of microservices
Promote integration of emerging trends in GenAI and LLMOps
Benefits
Opportunities for continuous learning and professional development
Collaborative work environment with cross-functional teams
Exposure to cutting-edge technologies in AI and microservices
Potential for career advancement in a growing field
Support for innovative projects and initiatives
Full Job Description
Role description
Job Summary
Seeking a Senior Executive with 3 to 5 years of experience to design develop and lead Java microservices architectures integrated with Generative AI and LLMOps capabilities
Job Description
Design and develop scalable and robust Java microservices applications following architecture best practices Integrate Generative AI and Large Language Model operations LLMOps into microservices solutions Develop secure RESTful APIs to enable communication between distributed services and AI components Leverage LLM techniques such as prompt engineering and retrievalaugmented generation RAG to enhance AI capabilities Utilize AI orchestration frameworks like LangChain and custom agent frameworks for workflow automation Implement containerization and cloudnative technologies to ensure scalable secure deployments Stay updated with emerging trends in Java microservices Generative AI and LLMOps to drive continuous innovation Collaborate with crossfunctional teams for seamless integration of AI solutions within enterprise architecture and compliance frameworks
Roles and Responsibilities
Lead the design architecture and production deployment of AIenabled Java microservices solutions
Provide technical leadership including architecture guidance code reviews and mentoring for development teams
Collaborate with business security and platform teams to drive GenAI use cases from concept through production
Manage LLMOps processes encompassing model lifecycle management monitoring and continuous improvement
Advocate and champion adoption of AIassisted software development tools and methodologies
Ensure secure scalable and maintainable design of microservices and AI integrations suitable for enterprise environments
Partner crossfunctionally to align AI solutions with business objectives and compliance requirements
Promote continuous learning and integration of emerging GenAI and LLMOps trends to maintain competitive advantage
