Jobs via Dice

No Remote - Java AI/LLM Developer(AWS, Docker, CI/CD) - Raleigh, NC (Hybrid) - 12 Months Contract - Direct Client

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Java Developer in Raleigh, NC, on a 12-month contract. Key skills include 12+ years in Java, microservices, AWS, Kafka, and AI integration. Experience with agentic coding frameworks and CI/CD practices is essential. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Microservices #Cloud #SQS (Simple Queue Service) #DevOps #Programming #AI (Artificial Intelligence) #Docker #Java #Python #ChatGPT #AWS (Amazon Web Services) #Kubernetes #GCP (Google Cloud Platform) #Kafka (Apache Kafka)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Accion Labs, is seeking the following. Apply via Dice today! We are seeking a senior-level engineer with deep experience in building AI agents leveraging AWS or Google Cloud Platform platforms. The ideal candidate will have a strong background in application development and hands-on expertise with agentic coding frameworks and tools (e.g., Claude Code, similar LLM-based development environments). This role will focus on architecting, building, and deploying intelligent agents that can reason, plan, and interact with systems and users in production-grade environments. Job Title: Senior Java Developer Location: Raleigh, NC - Hybrid (3 Days Office) Job Description:12+ years of professional experience in Java development (senior-level preferred). • Proven experience with enterprise-scale application development. • Strong understanding of microservices architecture and event-driven systems. • Hands-on experience with Kafka, AWS SQS, and/or IBM MQ. • Experience using Agentic IDEs like Claude Code or Cursor for leveraging AI for enterprise application development. • Solid understanding of AI agents, LLMs, and tools such as ChatGPT. • Proficiency in Python or another major programming language for AI integration is a plus • Familiarity with AWS cloud services and building cloud native applications. • Familiarity with containerization tools (Docker, Kubernetes). • Experience building and deploying AI-powered applications in production. • Experience with CI/CD pipelines and DevOps practices.