AI/ML Engineer (Voicebot)

Key Skills: FastAPI, Python, Agentic AI, RAG, LLM

Roles & Responsibilities:

AI/ML Engineer (4–7 Years Experience)

We are looking for a hands-on AI/ML Engineer to build and deploy intelligent AI solutions across our communication platform. This is an individual contributor role involving development of LLM-powered applications, voice AI capabilities, NLP pipelines, and production-grade ML systems that enable automation and real-time decision-making.

Key Responsibilities:

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  Build and deploy AI/ML solutions using Large Language Models (LLMs), NLP, speech AI, and generative AI technologies.

  
  


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  Develop LLM-powered features including summarization, sentiment analysis, intent detection, auto-disposition, escalation tagging, and agent assistance.

  
  


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  Build and implement Agentic AI workflows, prompt pipelines, and retrieval-based systems using frameworks like LangChain.

  
  


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  Work with speech technologies including STT, TTS, Whisper, and voice intelligence solutions.

  
  


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  Fine-tune, evaluate, and optimize AI models for accuracy, latency, and scalability.

  
  


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  Build AI inference services and APIs using Python, FastAPI, Docker, and cloud-native technologies.

  
  


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  Develop and maintain ML pipelines for data processing, model training, evaluation, and continuous improvement.

  
  


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  Integrate AI models into product workflows such as communication platforms, CRM systems, dialers, and automation solutions.

  
  


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  Optimize AI systems for high-volume production environments with focus on performance and reliability.

  
  


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  Work with data technologies such as PostgreSQL, Redis, Kafka, and build scalable data workflows.

  
  


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  Implement secure and compliant AI data handling, retrieval, and access control mechanisms.

  
  


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  Collaborate with product, engineering, and business teams to deliver impactful AI-driven features as a hands-on builder.

  
  

Ideal Candidate:

Strong AI Engineer (Agentic AI / Voice Bot / LLM Engineering) Profiles

Mandatory (Experience 1) – Must have 4+ years of overall software engineering experience, with at least 3+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, or Applied AI engineering roles.

Mandatory (Experience 2) – Must have strong hands-on experience designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and Generative AI architectures.

Mandatory (Experience 3) – Must have minimum 1+ year of recent hands-on experience in Voice Bot Development, Voice AI, Conversational AI, AI Voice Agents, Speech AI, Contact Center Automation, or Voice Automation Platforms.

Mandatory (Experience 4) – Must have strong expertise in Python and should have built scalable AI/ML applications, APIs, microservices, or backend systems using Python-based frameworks

Mandatory (Experience 5) – Must have hands-on experience with AI/LLM frameworks such as LangChain, LangGraph, Hugging Face, LlamaIndex, CrewAI, AutoGen, Whisper, OpenAI SDKs, or equivalent GenAI development frameworks

Mandatory (Notice Period) – Immediate Joiners or candidates who can join within 15 days will be highly preferred.

Preferred (Cloud) – Experience with AWS, Azure, GCP, MLOps, AI deployment platforms, model serving infrastructure, and cloud-native architectures.