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AI Engineer - Python / LLM

AI Engineer - Python / LLM

WorkeaglePune
26 days ago
Job description

Technical Proficiency :

  • Strong programming in Python, TensorFlow / PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.).
  • Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition.
  • LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines.
  • Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models.
  • Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines.

Desirable :

  • Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling.
  • Publications, patents, or open-source contributions in conversational AI or GenAI systems.

    • Role & Responsibilities

    Agentic AI Development :

  • Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities.
  • Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures.
  • Build negotiation-capable bots with real-time context adaptation and recursive feedback processing.

    • Generative AI & Model Optimization :

  • Fine-t une LLMs / SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.).
  • Apply distillation and quantization for efficient deployment on edge devices.
  • Benchmark LLM / SLM performance on server vs. edge environments for real-time use cases.

    • Speech and Conversational Intelligence :

  • Implement contextual dialogue flows using speech inputs with emotion and intent tracking.
  • Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses.
  • Work on real-time speaker diarization and multi-turn, multi-party conversation tracking.

    • Voice Biometrics & AI Security :

  • Train and evaluate voice biometric models for secure identity verification.
  • Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering.
  • Ensure compliance with voice data privacy and ethical AI guidelines.

    • ref : hirist.tech)

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