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 environments 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
- 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+ years of hands-o

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