Artificial Intelligence Engineer

Quanteon Solutions

3 years

0 Lacs

hyderabad telangana india

Posted:2 weeks ago| Platform:

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Skills Required

technology hrms crm ai design automation retrieval tuning orchestration latency scalability architecture data security ml engineering openai mistral azure node.js rest websockets aws docker model communication

Work Mode

On-site

Job Type

Full Time

Job Description

AI, Generative AI, and Voice AI

Job Summary

AI Engineer

Key Responsibilities

Design, develop, and deploy
Generative AI solutions
using LLMs for enterprise and client use cases
Build and optimize
Voice AI systems
, including speech-to-text (STT), text-to-speech (TTS), and conversational voice bots
Develop AI-powered applications such as
chatbots, voice assistants, call automation systems, and intelligent agents
Implement
prompt engineering
, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
Integrate LLMs with backend systems, APIs, databases, and third-party tools
Work with frameworks such as
LangChain, LlamaIndex, or similar orchestration tools
Design and manage
vector databases
(Pinecone, FAISS, Weaviate, ChromaDB, etc.)
Optimize AI solutions for
performance, latency, scalability, and cost efficiency
Collaborate with product managers, developers, QA, and clients to deliver AI-driven features
Participate in architecture discussions and provide technical guidance for AI implementations
Ensure
data privacy, security, and responsible AI practices
are followed
Stay updated with emerging trends in Gen AI, Voice AI, and conversational AI

Required Skills & Qualifications

3+ years of experience in
AI/ML Engineering or Applied AI Development
Strong hands-on experience with
Generative AI models
(OpenAI, Anthropic, Gemini, LLaMA, Mistral, etc.)
Proven experience in
Voice AI technologies
, including:
Speech-to-Text (Whisper, Deepgram, Google STT, Azure Speech)
Text-to-Speech (Amazon Polly, Azure TTS, ElevenLabs, Google TTS)
Voice bots, conversational IVR, or call automation systems
Strong proficiency in
Python
(mandatory); Node.js is a plus
Solid experience with
prompt engineering, embeddings, RAG pipelines
Hands-on experience with
vector databases and semantic search
Experience integrating AI solutions using
REST APIs, WebSockets, or streaming pipelines
Familiarity with
cloud platforms
(AWS, Azure, or GCP)
Experience with
Docker, CI/CD pipelines, and production deployments
Good understanding of
NLP concepts, ML fundamentals, and model evaluation
Strong analytical, communication, and client-interaction skills

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