Jobs via Dice
AI Engineer - Java Dev + Python+ Apache Kafka
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, K-Tek Resourcing LLC, is seeking the following. Apply via Dice today!
Core Skill Requirements
• 6 8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
• 4 5 years of experience with Python, focused on backend or data-driven development.
• Deep understanding of Reactive Programming (WebFlux, etc.)
• Hands-on experience with Apache Kafka for event-driven architectures.
• Experience with Flink for stream processing and data pipelines.
• Proficiency in Redis for caching and performance optimization.
• Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
• Strong experience in building and consuming RESTful APIs.
• GraphQL knowledge is good to have but not mandatory.
AI / Conversational Platform Exposure
• Good understanding of Google Dialogflow CX or similar conversational AI frameworks.
• Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
• Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
• Conceptual understanding of machine learning fundamentals and model telemetry.
Additional Skills
• Strong problem-solving and debugging skills.
• Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
• Excellent communication skills; ability to collaborate across engineering and product teams.
Preferred Qualifications
• Bachelor s or Master s degree in Computer Science, Engineering, or related field.
• Prior experience in banking, fintech, or digital assistant platforms is an advantage.
Qualifications
- 6 8 years of strong experience in Java development, including proficiency in Spring / Spring Boot
- 4 5 years of experience with Python, focused on backend or data-driven development
- Deep understanding of Reactive Programming (WebFlux, etc.)
- Hands-on experience with Apache Kafka for event-driven architectures
- Experience with Flink for stream processing and data pipelines
- Proficiency in Redis for caching and performance optimization
- Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS)
- Strong experience in building and consuming RESTful APIs
- GraphQL knowledge is good to have but not mandatory
- AI / Conversational Platform Exposure
- Good understanding of Google Dialogflow CX or similar conversational AI frameworks
- Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts
- Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks
- Conceptual understanding of machine learning fundamentals and model telemetry
- Strong problem-solving and debugging skills
- Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.)
- Excellent communication skills; ability to collaborate across engineering and product teams
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