Gen AIML Developer Java, Spring
Job Summary
Job Description
Job Title: AI Developer (GenAI / LLM / Java)
Role Summary
We are seeking a highly skilled Senior AI Developer to drive the development and adoption of AI-driven solutions. The ideal candidate will have strong expertise in:
- Artificial Intelligence & Machine Learning (AI/ML)
- Large Language Model (LLM) integration
- Workflow automation
- Java and Spring Framework
This role focuses on designing implementing and scaling AI agents and intelligent workflows to enhance product capabilities and operational efficiency.
Key Responsibilities
AI Solution Design & Development
- Lead the design and development of AI-powered solutions including:
- AI agents
- Chatbots
- Intelligent automation workflows
- AI agents
- Build scalable and production-ready AI systems
LLM Integration & NLP
- Integrate LLMs (e.g. GPT Cohere open-source models) into Java/Spring applications
- Enable capabilities such as:
- Natural Language Processing (NLP)
- Decision-making systems
- Predictive analytics
- Natural Language Processing (NLP)
Collaboration & Strategy
- Work with cross-functional teams:
- Developers
- Data scientists
- Product managers
- Developers
- Define AI strategy roadmap and technical requirements
Performance & Scalability
- Optimize AI workflows for:
- Scalability
- Performance
- Cost-efficiency
- Scalability
- Leverage Oracle databases for data storage and retrieval
Mentorship & Innovation
- Mentor junior developers
- Promote best practices in AI/ML development
- Foster a culture of innovation
Continuous Learning
- Stay updated with emerging AI technologies
- Evaluate new tools and frameworks for business use cases
Governance & Compliance
- Ensure adherence to:
- Data privacy standards
- Security requirements
- Ethical AI practices
- Data privacy standards
Required Skills & Experience
Core Skills
- Strong experience in:
- AI/ML development
- Generative AI / LLM integration
- AI/ML development
- Hands-on experience with:
- Java
- Spring Framework
- Java
- Experience building:
- AI agents
- Chatbots
- Workflow automation systems
- AI agents
Technical Skills
- LLM tools/platforms (e.g. GPT Cohere open-source models)
- Oracle database (data handling optimization)
- API integration and backend development
Required Skills:
Experience (Years): 4-6 Essential Skills: Work with project teams throughout the organization to design implement and manage CDN infrastructure using Akamai to ensure high availability performance and scalability for customer facing applications and business processes. Handle multiple priorities and assignments with excellence and precision. Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation). Directly support line of business development teams provide guidance to them on implementation and changes for customer facing applications Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats. Monitor and analyze network performance identifying and resolving issues to optimize content delivery of critical applications. Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications. Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN. Provide technical support and guidance to clients and internal teams regarding CDN and security best practices. Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications: Bachelors degree in Computer Science Information Technology or a related field. OR similar work experience. Strong understanding of network protocols (HTTP/HTTPS DNS TCP/IP). Proven experience as a CDN Engineer or similar role with a strong focus on -depth knowledge of Content Delivery Network technologies including caching load balancing and content optimization. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience supporting 24/7/365 customer facing applications at enterprise scale. Awareness and experience with cybersecurity tools and practices such as firewalls intrusion detection/prevention systems and encryption. Proficiency in scripting and automation (e.g. Python Bash) a plus. Relevant certifications (e.g. CISSP CEH) are a plus but not required.