Lead AI Engineer responsible for designing and building enterprise AI applications using LLMs, Voice AI, and RAG-based solutions. The role focuses on developing scalable Python microservices, integrating AI services with enterprise systems, and optimizing performance for latency, cost, and accuracy.

Must Have Skills:

- Python
- FastAPI
- Django
- REST APIs
- WebSockets
- Async Programming
- Microservices
- Redis
- LLMs
- OpenAI APIs
- GPT-4o
- GPT-5
- Claude
- Speech-to-Text
- Text-to-Speech
- OpenAI Realtime API
- Streaming Audio
- Voice Activity Detection
- Embeddings
- Vector Databases
- Open AI SDK
- Lang Chain

Positive to Have Skills:

- JavaScript
- TypeScript
- Gemini
- Prompt Engineering
- Function Calling
- Structured Outputs
- JSON Schema
- Context Window Management
- Token Optimization
- AI Safety
- Model Evaluation
- Pinecone
- Weaviate
- Qdrant
- Milvus
- LlamaIndex
- Hugging Face Transformers
- Sentence Transformers
- Pydantic AI
- Conversational AI
- Voice AI
- AI Assistants
- Customer Support Automation
- Workflow Automation
- MCP
- AI Guardrails
- Prompt Versioning
- Cost Optimization
- AI Evaluation Frameworks

📌 Lead AI Engineer (Hyderabad)
🏢 hiringhood
📍 Hyderabad