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# Java Developer

- **Company:** PROLIM Global Corporation
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Profiling, Databases, Software Debugging, Memory Management, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Log Analysis, OpenAI, Software Engineering, Systems Integration, Data Logging, Data Processing, LangChain, Large Language Models, Prompt Engineering, Agentic-AI, Rate Limiting, Cloudformation, Amazon Bedrock, CrewAI, AutoGen, Functional Programming, Google Gemini, Terraform, Golang
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/java-developer-austin-tx--a912b019-891c-478a-afef-c74e042c296a

## About the Role

Java, Software Engineering, Application Programming Interface (API), Memory Hardware, Memory Management, Testing, Traffic Shaping, Injections, Artificial Intelligence (AI) Agents, Identify Issues, Go, Python, Java, Terraform, C2, S3, Terraform/CloudFormation, Lambda, DynamoDB

"Troubleshooting Skills - 5 years:

Systematic debugging

Log analysis

Performance profiling

Incident response

Prompt Engineering - 2 years:

Prompt Design: effective prompts for different personas, tasks, schema & models

Few-shot & Zero-shot Learning: guide model behaviors

Tool use integration: prompt to interact with APIs, Databases and external tools

Building AI Agents - 2 years:

Agent Frameworks: langchain, autogen, crewai, MCP, etc.

## Description

Tool Use & Planning: Integrating external tools (API/DB), multi-step reasoning, task decomposition

State management: goal tracking, actions, outcomes

LLM Integration: using common open and closed models (OpenAI, Gemini, Anthropic, Llama, etc.)

Evaluation & safety: testing agent behavior, fail-safes, ethical constraints

Security: input sanitization, sensitive data handling, prompt injection projection, scoped permissions, logging, rate limiting"

Bedrock, Bedrock Agents, IAM policies, roles, KMS, secrets manager

Role Descriptions: "Troubleshooting Skills 5 years:Systematic debuggingLog analysisPerformance profilingIncident responsePrompt Engineering 2 years:Prompt Design: effective prompts for different personas| tasks| schema & modelsFew-shot & Zero-shot Learning: guide model behaviorsTool use integration: prompt to interact with APIs| Databases and external toolsBuilding AI Agents 2 years:Agent Frameworks: langchain| autogen| crewai| MCP| etc.Memory & Context Management: long-term memory| RAGTool Use & Planning: Integrating external tools (API/DB)| multi-step reasoning| task decompositionState management: goal tracking| actions| outcomesLLM Integration: using common open and closed models (OpenAI| Gemini| Anthropic| Llama| etc.)Evaluation & safety: testing agent behavior| fail-safes| ethical constraintsSecurity: input sanitization| sensitive data handling| prompt injection projection| scoped permissions| logging| rate limiting"

Essential Skills: Go| Python| Java| Terraform| C2| S3| Terraform/CloudFormation| Lambda| DynamoDBBedrock| Bedrock Agents| IAM policies| roles| KMS| secrets manager