AI engineer

Phoenix, NM - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Ensure candidate worked on AI Tools to generate code and fixing coding errors in AI tools this is mandatory dont share profiles of candidates who has done POCS

Overall Evaluation Summary (*****):
The candidate demonstrated strong core Java fundamentals and reasonable familiarity with microservices and streaming technologies such as Kafka. However gaps were observed in unit and mutation testing reactive programming (WebFlux) resiliency patterns (e.g. circuit breakers) and the ability to write medium complexity queries. While the candidate has some exposure to Python and AI tools they required additional guidance to arrive at optimal solutions. Communication was generally good though confidence occasionally exceeded demonstrated depth of knowledge.

Rate $75

102602-71 1 / 102602-72 1

Location: Phoenix AZ or Charlotte NC

Core Skill Requirements

6-8 years of strong experience in Java development including proficiency in Spring / Spring Boot.
2-3 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

Bachelors or Masters degree in Computer Science Engineering or related field.
Prior experience in banking fintech or digital assistant platforms is an advantage.

Ensure candidate worked on AI Tools to generate code and fixing coding errors in AI tools this is mandatory dont share profiles of candidates who has done POCS Overall Evaluation Summary (*****): The candidate demonstrated strong core Java fundamentals and reasonable familiarity with microservic...