Core Java Developer

Core Java Developer

Location: New York, NY (Hybrid), Local Candidates only

Duration: 6 Months +

Seeking a hands-on Senior Developer to guide the development including AI-powered automation solutions. The candidate should have 10+ years of strong development experience using multiple technologies and should have strong expertise in designing, developing, and rolling out new solutions or significantly enhancing existing solutions.

Skills Requirements for the role:

• Strong Core Java with hands-on knowledge and experience in multi-threaded programming and microservices
• some AI/ML familiarity.
• Spring/ORM, JUnit
• Sybase (SQL/MSSQL)
• Maven, Jenkins
• Design paradigms like Microservices
• Messaging interfaces (e.g. JSON/XML/DTD/structure)
• Cloud CI/CD development
• Linux Container technologies (Docker and Kubernetes)
• Knowledge & practical usage of Design Patterns
• Proficiency in a Linux/Unix environment
• Experience with Large Language Models (LLMs) and their APIs (e.g., OpenAI, Anthropic, Hugging Face)
• Understanding of prompt engineering and LLM best practices
• Experience building AI agents and autonomous systems
• Knowledge of vector databases and embedding technologies
• Familiarity with AI orchestration frameworks
• Experience with RAG (Retrieval Augmented Generation) implementations
• Understanding of AI/ML model deployment and monitoring
• Knowledge of AI safety and responsible AI development practices
• Rule engines e.g. DROOLS
• Angular/REACT
• BPM Tools
• Design of cloud native apps
• Understanding of Lifecycle of Client Onboarding
• Experience with Python for AI/ML development
• Knowledge of AI model fine-tuning and optimization
• Experience with AI-powered workflow automation

Organizational Skills

• A strong sense of ownership of deliveries and a team player with good communication skills
• Full software development lifecycle experience
• Ability to provide technical leadership and mentor junior staff members
• Ability to work in distributed, global teams
• Strong sense of quality in a software development process
• Understanding of key reference data concepts: Counterparty or Accounts
• Experience working in a rapidly changing, fast-paced business environment
• Understanding of data-model concepts (entities, attributes, relationships, etc.)
• Ability to bridge traditional software development with AI-powered solutions
• Experience in identifying use cases for AI implementation
• Understanding of AI project lifecycle and implementation challenges
• Ability to evaluate and integrate new AI technologies into existing systems