Mandatory technical skills

- Robust Python
- Hands-on production GenAI/LLM application development
- RAG architecture and implementation
- Vector databases
- Embeddings, chunking and retrieval strategies
- Prompt/context engineering
- LLM APIs and model integration
- Backend/API development
- Model evaluation
- Git/software engineering fundamentals

Highly desirable

- Agentic AI/tool calling/workflows
- LangChain / LlamaIndex / equivalent
- AWS Bedrock
- Claude/OpenAI/Gemini
- Qdrant/Pinecone/Weaviate
- OpenTelemetry/AI observability
- Guardrails/security for enterprise AI
- Fine-tuning or model adaptation
- Enterprise search/knowledge systems

Responsibilities

- Design and build production-grade GenAI capabilities
- Develop RAG and enterprise knowledge solutions




- Build AI agents integrating with enterprise applications/tools
- Improve response relevance and factual accuracy
- Implement evaluation frameworks
- Reduce hallucinations through grounding and validation
- Build reusable AI services/APIs
- Evaluate new LLMs and AI frameworks
- Mentor junior AI engineers
- Work closely with product/domain engineers

Do NOT submit

- Pure Data Scientists with no GenAI engineering
- Candidates whose only GenAI exposure is coursework/certification
- Prompt-engineering-only profiles
- AI managers who are no longer hands-on
- Candidates who have only built basic chatbot POCs

📌 Senior GenAI Engineer (Telangana)
🏢 The Hire Wings
📍 Telangana