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
Build and deploy AI/ML solutions using Large Language Models (LLMs), NLP, speech AI, and generative AI technologies.
Develop LLM-powered features including summarization, sentiment analysis, intent detection, auto-disposition, escalation tagging, and agent assistance.
Build and implement Agentic AI workflows, prompt pipelines, and retrieval-based systems using frameworks like LangChain.
Work with speech technologies including STT, TTS, Whisper, and voice intelligence solutions.
Fine-tune, evaluate, and optimize AI models for accuracy, latency, and scalability.
Build AI inference services and APIs using Python, FastAPI, Docker,



and cloud-native technologies.
Develop and maintain ML pipelines for data processing, model training, evaluation, and continuous improvement.
Integrate AI models into product workflows such as communication platforms, CRM systems, dialers, and automation solutions.
Optimize AI systems for high-volume production settings with focus on performance and reliability.
Work with data technologies such as PostgreSQL, Redis, Kafka, and build scalable data workflows.
Implement secure and compliant AI data handling, retrieval, and access control mechanisms.
Collaborate with product, engineering, and business teams to deliver impactful AI-driven features as a hands-on builder.

Ideal Candidate
Robust 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-o

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