Java Developer
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Role details
Tech stack
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Job 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 limitingβ
Bedrock, Bedrock Agents, IAM policies, roles, KMS, secrets manager
| Role Descriptions: βTroubleshooting 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 limitingβ |
| Essential Skills: Go | Python | Java | Terraform | C2 | S3 | Terraform/CloudFormation | Lambda | DynamoDBBedrock | Bedrock Agents | IAM policies | roles | KMS | secrets manager |
Requirements
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
βTroubleshooting 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.
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