AI Engineer – Voice & Conversational Systems -
Location :Remote
Position Overview:
We are seeking an experienced AI Engineer to design, build, and deploy next-generation conversational AI and real-time voice agents. In this role, you will bridge the gap between advanced Large Language Models (LLMs) and real-world telecommunication systems. You will be responsible for building ultra-low-latency voice pipelines, integrating interactive voice response (IVR) systems, implementing robust agent tool-calling frameworks via MCP, and ensuring system safety through rigorous evaluation and guardrails.
Key Responsibilities:
* Voice Agent Development: Design, optimize, and deploy end-to-end voice agents and real-time conversational pipelines, ensuring minimal latency and high contextual accuracy.
* *IVR & Telephony Integration:* Connect AI voice agents seamlessly with Contact Center IVR systems to automate customer interactions.
* *Context & Tool Orchestration:* Utilize MCP (Model Context Protocol) and FastMCP frameworks to give AI models structured access to secure data sources and enterprise tools.
* *Model Selection & Optimization:* Architect solutions leveraging state-of-the-art LLMs, including OpenAI GPT models and AWS Nova models via AWS Bedrock.
* *Speech Processing Pipelines:* Implement and fine-tune Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines using DeepGram and ElevenLabs.
* *System Evaluation & Safety:* Establish evaluation frameworks (Evals) to measure agent performance and implement Guardrails to ensure deterministic, safe, and compliant model outputs.
* *Cloud Infrastructure:* Understanding of scalable AI microservices using Python, API Gateway, and AWS S3 storage.
### *Required Technical Skills*
* *Core AI & Frameworks:*
* Strong proficiency in *Python* and standard AI/ML frameworks.
* Hands-on experience with *MCP (Model Context Protocol)* and *FastMCP* for context standardizing.
* *Large Language Models (LLMs):*
* Experience deploying and prompting *OpenAI GPT models* and *AWS Nova models*.
* Deep understanding of *AWS Bedrock* and orchestrating multi-step workflows with *AWS Strands*.
* *Voice & Audio Tech:*
* *Speech-to-Text (STT):* Production experience with *DeepGram* or similar real-time streaming audio tools.
* *Text-to-Speech (TTS):* Experience generating natural, low-latency speech via *ElevenLabs*.
* *Production & Infrastructure:*
* Familiarity integrating AI pipelines into traditional *Contact Center IVR systems*.
* Experience building robust REST/WebSocket APIs using AWS *API Gateway* and managing data persistence in *S3 Buckets*.
* *AI Quality & Safety:*
* Proven experience building *Evals* to benchmark model accuracy, latency, and hallucination rates.
* Experience configuring *Guardrails* (e.g., input/output filtering, PII masking, safety alignment).