GenAI Agent Developer

Preferred candidate profile

• Troubleshooting Skills 5 years: B1
• 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
• Building AI Agents 2 years:
• Agent Frameworks: langchain, autogen, crewai, MCP, etc.
• Memory & Context Management: long-term memory, RAG
• 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
• AWS Public Cloud Skills 3-5 years:
• Core services: EC2, S3, Terraform/CloudFormation, Lambda, DynamoDB
• AI services: Bedrock, Bedrock Agents
• Security: IAM policies, roles, KMS, secrets manager
• Database Skills 3-5 years:
• SQL mastery: joins, indexing, query optimization
• Data modeling: normalization, denormalization, er diagrams, schema design
• Performance tuning: Query plans, caching strategies
• Programming Languages 3-5 years:
• Go
• Python
• Java
• Terraform (nice to have)