Artificial Intelligence Engineer

We’re a fast-growing startup working on a next-generation conversational platform that blends natural voice, real-time interaction, and emotional intelligence. The product is already live in private beta — we’re looking for an AI Engineer who can refine, optimize, and scale our current model integrations.

Responsibilities

Build, fine-tune, and deploy

LLM-based conversational agents

using OpenAI, Gemini, or similar APIs

Optimize

real-time audio pipelines , including transcription (STT) and speech synthesis (TTS)

Develop and test

prompt-engineering logic

and dynamic response generation

Collaborate with backend engineers to improve

latency, accuracy, and contextual memory

Implement

custom tools and APIs

for real-time reasoning and emotion detection

Monitor and analyze model performance, create feedback loops for continuous improvement

Requirements

Proven experience integrating

OpenAI, Anthropic, Gemini, or similar LLMs

Strong coding skills in

Python / Node.js

Understanding of

NLP, embeddings, prompt design, and text generation pipelines

Hands-on experience with

real-time systems

(WebSocket, LiveKit, Twilio, etc.)

Ability to debug and optimize

model response times and context flow

Solid foundation in

API integration, cloud deployment, and model testing

Nice to Have

Experience with

emotion recognition ,

voice-to-voice interfaces , or

persona-based AI

Familiarity with

LangChain ,

RAG , or

vector databases

Experience in

fine-tuning smaller open-source models

(LLaMA, Mistral, etc.)

Previous work on

AI companions ,

counseling bots , or

real-time agents

What We Offer

Competitive pay (monthly or milestone-based)

Opportunity to work on cutting-edge

real-time AI products

Fast, creative environment — direct impact on user experience

Long-term potential for growth with a core founding team

⚠️

Note :

This project is currently in private beta. Full product details will be shared under NDA with shortlisted candidates.