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)

📌 GenAI Agent Developer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad