Artificial Intelligence Engineer

AI Engineer – Voice, NLP, and GenAI Systems

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Transform+

We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement.

AI Engineer

You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams.

• Design, train, fine-tune, and deploy

  NLP models

  for conversation analysis, scoring, sentiment detection, and call summarization.
• Work on integrating and customizing

  speech-to-text (STT)

  pipelines (e.g., WhisperX, Deepgram) for multilingual audio data.
• Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations.

• Experiment with and integrate

  large language models

  (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases.
• Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules.
• Develop internal tools for model evaluation and prompt performance tracking.

• Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI).
• Optimize inference time and resource utilization for real-time and batch processing needs.
• Implement monitoring and logging for production ML systems to track drift and failure cases.

• Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance.
• Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks.
• Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency.

• Work closely with product managers to translate business problems into model design requirements.
• Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI.
• Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders.

• 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications.
• Strong programming skills in

  Python

  , including libraries like PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with

  speech processing

  , audio feature extraction, or STT pipelines.
• Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis.
• Familiarity with deploying models as APIs and integrating them with production backend systems.
• Good understanding of data pipelines, preprocessing techniques, and scalable model architectures.

• Prior experience with

  multilingual NLP systems

  or models tuned for Indian languages.
• Exposure to

  RAG pipelines

  , embeddings search (e.g., FAISS, Pinecone), and vector databases.
• Experience working with voice analytics, diarization, or conversational scoring frameworks.
• Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment).
• Experience in SaaS product environments serving enterprise clients.

• Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention.
• Inference pipelines optimized for enterprise-scale deployments with high availability.
• New features and improvements delivered quickly to drive direct business impact.
• AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients.

• Love building AI systems that create measurable value in the real world, not just in research labs.
• Enjoy solving messy, real-world data problems and working on multilingual and noisy data.
• Are passionate about voice and NLP, and constantly follow advancements in GenAI.
• Thrive in a fast-paced, high-ownership environment where ideas quickly become live features.

careers@darwix.ai

Application – AI Engineer – [Your Name]

(Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production.

This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.