Position Details
About this role
This role involves deploying and fine-tuning large language models for conversational AI, focusing on voice and chat agents using advanced frameworks and tools.
Key Responsibilities
- Leading conversational workflow design
- Fine-tuning LLMs
- Developing full-stack integrations
- Prompt engineering for voice and text
- Performance monitoring and optimization
Technical Overview
The technical environment includes Python, JavaScript, Azure, TTS systems, APIs, and agentic frameworks like LangChain and LlamaIndex, with a focus on real-time voice conversation optimization.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 3+ years experience in deploying large language models and conversational AI solutions, proficient in Python and prompt engineering, with expertise in voice stacks and TTS integration.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years experience in AI/ML, Lack of experience with LLM deployment, No proficiency in Python, No experience with prompt engineering, No knowledge of voice stacks or TTS
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