Generative AI Developer

• *Job Title**: Generative AI Developer
• *Experience:** 1\-2 years
• *Company:** Muks Robotics AI Pvt. Ltd.
• *Website:** https://muksrobotics.com/
• *Location:** Baner, Pune

• *About the Role:**

We are looking for a passionate and skilled **Generative AI Developer** with 1\-2 years of experience to join our team. The ideal candidate should have strong theoretical and practical knowledge of AI/ML, along with solid software development skills. You will be responsible for designing, developing, and deploying end\-to\-end AI solutions, including intelligent systems such as chatbots and multimodal applications.

• *Key Responsibilities:**

• Design, develop, and deploy machine learning and AI models for applications.
• Build and maintain end\-to\-end AI pipelines (data collection → preprocessing → training → evaluation → deployment).
• Develop intelligent systems such as chatbots, conversational AI, and multimodal systems.
• Work with LLMs (Large Language Models) and VLMs (Vision\-Language Models).
• Implement and optimize audio processing pipelines including Speech\-to\-Text (STT) \& Text\-to\-Speech (TTS).
• Knowledge of Communication protocols (e.g.Websocket) and frameworks (e.g. FastAPI).
• Collaborate with cross\-functional teams to integrate AI solutions into robotic systems.
• Write clean, scalable, and maintainable code following software engineering best practices.
• Continuously research and apply new AI/ML techniques and tools.

• *Required Skills \& Qualifications:**

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 1\-2 years of hands\-on experience in AI/ML development.
• Strong understanding of Machine Learning, Deep Learning, and Generative AI concepts.
• Proficiency in Python and experience with tools like PyTorch, LangChain, LangGraph, and Ollama.
• Experience in building end\-to\-end Conversational AI systems and working with LLMs, VLMs, and multimodal models.
• Knowledge of audio processing (STT/TTS), APIs, backend integration, and model deployment.

• *Good to Have:**

• Familiarity with Linux environments
• Experience with Docker (containerization)
• Basic understanding of AWS or cloud platforms

Work Location: In person