Python​/Java Engineer; AI - Agentic

Core Technical Requirements

Java Expert: 6-8 years of robust experience with Java and Spring / Spring Boot.

Python Backend: 4-5 years of experience in Python, specifically for backend services or data-driven applications.

Modern Paradigms:
Deep understanding of Reactive Programming (Web Flux).

Streaming & Data:
Hands-on experience with Apache Kafka for event-driven systems and Apache Flink for stream processing.

Data Stores:
Proficiency in Redis (caching), Mongo

DB (No

SQL), and Oracle (RDBMS).

API Design:
Mastery of RESTful APIs (Graph

QL is a strong plus).

AI & Conversational Exposure

Working knowledge of Google Dialogflow CX or similar conversational frameworks.

Exposure to LLMs (Large Language Models), prompt engineering, and agentic architectures.

Familiarity with ADK (Agent Development Kit) or Playbook frameworks.

Conceptual grasp of ML fundamentals and model telemetry.

Additional Qualifications

Experience with Cloud-Native environments (OCP/Open Shift, Kubernetes) and CI/CD pipelines.

Strong debugging skills in complex, distributed microservices environments.

Previous experience in Fin Tech or high-traffic digital assistant platforms is highly preferred.

Education:

Bachelor's or Master's degree in Computer Science or a related field.

Core Technical Requirements

• Java Expert: 6-8 years of robust experience with Java and Spring / Spring Boot.
• Python Backend: 4-5 years of experience in Python, specifically for backend services or data-driven applications.
• Modern Paradigms: Deep understanding of Reactive Programming (Web Flux).
• Streaming & Data: Hands-on experience with Apache Kafka for event-driven systems and Apache Flink for stream processing.
• Data Stores: Proficiency in Redis (caching), MongoDB (No
  
  SQL), and Oracle (RDBMS).
• API Design: Mastery of RESTful APIs (Graph
  
  QL is a strong plus).

• Working knowledge of Google Dialogflow CX or similar conversational frameworks.
• Exposure to LLMs (Large Language Models), prompt engineering, and agentic architectures.
• Familiarity with ADK (Agent Development Kit) or Playbook frameworks.
• Conceptual grasp of ML fundamentals and model telemetry.

• Experience with Cloud-Native environments (OCP/Open Shift, Kubernetes) and CI/CD pipelines.
• Strong debugging skills in complex, distributed microservices environments.
• Previous experience in Fin Tech or high-traffic digital assistant platforms is highly preferred.
• Education: Bachelor's or Master's degree in Computer Science or a related field.

Core Technical Requirements

Java Expert: 6-8 years of robust experience with Java and Spring / Spring Boot.

Python Backend: 4-5 years of experience in Python, specifically for backend services or data-driven applications.

Modern Paradigms:
Deep understanding of Reactive Programming (Web Flux).

Streaming & Data:
Hands-on experience with Apache Kafka for event-driven systems and Apache Flink for stream processing.

Data Stores:
Proficiency in Redis (caching), Mongo

DB (No

SQL), and Oracle (RDBMS).

API Design:
Mastery of RESTful APIs (Graph

QL is a strong plus).

AI & Conversational Exposure

Working knowledge of Google Dialogflow CX or similar conversational frameworks.

Exposure to LLMs (Large Language Models), prompt engineering, and agentic architectures.

Familiarity with ADK (Agent Development Kit) or Playbook frameworks.

Conceptual grasp of ML fundamentals and model telemetry.

Additional Qualifications

Experience with Cloud-Native environments (OCP/Open Shift, Kubernetes) and CI/CD pipelines.

Strong debugging skills in complex, distributed microservices environments.

Previous experience in Fin Tech or high-traffic digital assistant platforms is highly preferred.

Education:

Bachelor's or Master's degree in Computer Science or a related field.

Equal Opportunity

Employer:

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.