Role & Responsibilities

AI/ML Engineer (4–7 Years Experience)

Role & Responsibilities

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
- Solid 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+ y

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