AI ENGINEER

Role: Design and implement the AI/Agent interaction layer that enables business users to interact with the prepared enterprise/HR data through prompts and intelligent orchestration.

Reports To: Solution/Data Architect / AI Delivery Head

Key Responsibilities:

- Implement prompt and agent interaction patterns.
- Develop business-question interpretation flows.
- Implement intent/entity interpretation where required.
- Connect agents to approved semantic/data access mechanisms.
- Implement orchestration between user questions, business logic and data.
- Develop guardrails for data access and response generation.
- Validate accuracy and grounding of responses.
- Test prompt variations and edge cases.
- Support AI/Agent performance and response-quality tuning.
- Document agent behavior and configuration.




- Ensure agents do not bypass approved security and data-access mechanisms.

Key Deliverables:

- Agent workflows
- Prompt patterns
- Data/semantic orchestration
- Guardrails
- Test scenarios
- Response validation
- AI/Agent documentation

Experience / Skills:-

Mandatory:

- 3 to 6+ years in AI/ML/software engineering with recent LLM/GenAI experience.
- Experience with LLM applications.
- Prompt engineering.
- Agent/orchestration concepts.
- API integration.
- Python or equivalent programming capability.
- Solid understanding of grounding and enterprise data access.

Preferred:

- Azure AI ecosystem.
- RAG.
- Tool/function calling.
- Agent frameworks.
- Enterprise data/semantic integration.

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 Synergy Computer Solutions
📍 Hyderabad