- OpenAI SDK
- Lang Chain
- Llama Index
- Hugging Face Transformers
- Sentence Transformers
- Pedantic AI
Preferred Domain Experience
- Conversational AI
• Voice AI
- AI Assistants
- Customer Support Automation
- Workflow Automation
Good to have
- MCP (Model Context Protocol)
- AI Guardrails
- Prompt Versioning
- Cost Optimization
- AI Evaluation Frameworks
Roles & Responsibilities
- Design and develop AI-powered enterprise applications using LLMs.
- Build Voice AI solutions for real-time conversational systems.
- Develop AI Agents capable of reasoning, planning, and tool execution.
- Design and implement RAG pipelines using vector databases.
- Integrate AI services with REST APIs, WebSocket's, SIP, and enterprise systems.
- Develop scalable Python microservices.
- Optimize AI applications for latency, cost, and accuracy.
- Build reusable AI workflows and tool-calling frameworks.
- Collaborate with Product, QA, and DevOps teams.
- Evaluate and integrate emerging AI technologies.