Python(Ai) - R&d Enginee

1 day ago

Pune Maharashtra, India Talent XO Full time

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.).
- 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.

**Self-Learning & Autonomous Adaptation**:

- Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining.
- Enable low-footprint learning systems on-device to support personalization on the edge.

**Educational Qualifications**:

- Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

**Experience Required**:

- 3-8 years of experience, with a mix of core software development and AI/ML model engineering.
- Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems.

**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.

**Job Types**: Full-time, Permanent

Pay: ₹279,322.65 - ₹1,450,286.89 per year

**Benefits**:

- Health insurance
- Provident Fund

Schedule:

- Monday to Friday

Work Location: In person

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