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Java Ai Platform Engineer Notifications Platform

  • Job type Posted on: Jul 21, 2026
  • Experience level Akaasa Technologies
  • Employment type Chicago, Illinois
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Java Ai Platform Engineer Notifications Platform

Job Type :

Full-time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Java AI Platform Engineer Notifications Platform (Java, AWS, GenAI)

Location: Chicago, IL - Hybrid

Duration: 12+ Months with possible extensions or conversion.

Interview: Virtual round

Note:

  • Must be local with DL copy
  • LinkedIn with location (before 2023)
  • Airline experience(highly preferred)

Job Overview:

This is a hands-on Individual Contributor (IC) role focused on designing, developing, modernizing, and supporting enterprise-scale notification services and AI-enabled communication platforms used across customer and crew applications.The ideal candidate will be an experienced Java Backend Engineer with strong AWS Cloud, Microservices, and AI Engineering expertise, including LLM integration, RAG pipelines, vector databases, tool calling, and cloud-native deployments. This role requires someone who spends the majority of their time coding, debugging, designing, and delivering production-ready software.

Required:

  • 8+ years of software engineering experience.
  • 8+ years of hands-on Java backend development.
  • Strong experience with:
    • Spring Boot
    • REST APIs
    • Microservices
  • 4+ years of AWS cloud development.
  • 3+ years working with event-driven architectures and messaging systems.
  • Experience with Apache Camel or similar integration frameworks.
  • Strong production experience implementing AI/GenAI solutions including:
    • LLM integration
    • Prompt Engineering
    • RAG
    • Embeddings
    • Vector Search
    • Semantic Search
    • AI Workflow Automation
  • Experience with Docker, Kubernetes, and CI/CD.
  • Knowledge of secure AI engineering, AI guardrails, data privacy, and AI governance.
  • Experience with monitoring tools such as Dynatrace, ELK Stack, or CloudWatch.
  • Strong understanding of SDLC, Git, automated testing, release management, and production support.

Others:

  • Experience with enterprise notification or messaging platforms.
  • Twilio or similar communication platform experience.
  • AI-powered personalization and content generation.
  • AI observability, LLMOps, or MLOps.
  • AWS Certification.

Jobcon Logo Position Details

Posted:

Jul 21, 2026

Reference Number:

30370-20508

Employment:

Full-time

Salary:

Not Available

City:

Chicago

Job Origin:

CIEPAL_ORGANIC_FEED

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Java AI Platform Engineer Notifications Platform (Java, AWS, GenAI)

Location: Chicago, IL - Hybrid

Duration: 12+ Months with possible extensions or conversion.

Interview: Virtual round

Note:

  • Must be local with DL copy
  • LinkedIn with location (before 2023)
  • Airline experience(highly preferred)

Job Overview:

This is a hands-on Individual Contributor (IC) role focused on designing, developing, modernizing, and supporting enterprise-scale notification services and AI-enabled communication platforms used across customer and crew applications.The ideal candidate will be an experienced Java Backend Engineer with strong AWS Cloud, Microservices, and AI Engineering expertise, including LLM integration, RAG pipelines, vector databases, tool calling, and cloud-native deployments. This role requires someone who spends the majority of their time coding, debugging, designing, and delivering production-ready software.

Required:

  • 8+ years of software engineering experience.
  • 8+ years of hands-on Java backend development.
  • Strong experience with:
    • Spring Boot
    • REST APIs
    • Microservices
  • 4+ years of AWS cloud development.
  • 3+ years working with event-driven architectures and messaging systems.
  • Experience with Apache Camel or similar integration frameworks.
  • Strong production experience implementing AI/GenAI solutions including:
    • LLM integration
    • Prompt Engineering
    • RAG
    • Embeddings
    • Vector Search
    • Semantic Search
    • AI Workflow Automation
  • Experience with Docker, Kubernetes, and CI/CD.
  • Knowledge of secure AI engineering, AI guardrails, data privacy, and AI governance.
  • Experience with monitoring tools such as Dynatrace, ELK Stack, or CloudWatch.
  • Strong understanding of SDLC, Git, automated testing, release management, and production support.

Others:

  • Experience with enterprise notification or messaging platforms.
  • Twilio or similar communication platform experience.
  • AI-powered personalization and content generation.
  • AI observability, LLMOps, or MLOps.
  • AWS Certification.

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