Overview :

We are seeking a highly skilled ML / Generative AI Engineer with strong hands-on project experience in building, orchestrating, and deploying production-grade Generative AI solutions.

The ideal candidate will have a solid ML/AI academic background, expertise in Core Python, and practical experience in Agentic AI and multi-agent systems, including LangGraph-based workflows.

This role involves working on real-world business problems by designing, developing, and deploying multi agent GenAI systems that operate concurrently to solve complex tasks at scale.

Duties and Responsibilities :

- Design, develop, and implement state-of-the-art generative models for various applications, such as text generation, image synthesis and content creation.

- Implement Agentic AI architectures using frameworks such as LangGraph, LangChain, and custom orchestration logic.

- Experience working on open source LLMs like Llama, Falcon, BERT, Mistral etc., RAG systems and prompt engineering.

- Pre-process and analyze large datasets to extract meaningful features and patterns suitable for training generative models.

- Optimize and fine-tune generative models for efficiency, scalability, and improved performance.

- Deploy and manage AI solutions on cloud platforms (AWS / Azure), following best practices.

- Implement strategies for reducing model latency and resource consumption.

- Develop and implement robust evaluation metrics to assess the performance and quality of generative models.

- Architecture design and building scalable production systems.

- Document code, models, and methodologies thoroughly to facilitate knowledge sharing and future development.

- Stay updated with the latest advancements in generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant techniques.

- Stay at the forefront of the latest research papers and publications in the field of generative AI.

- Contribute to the company's intellectual property by researching and developing novel approaches to address specific business challenges.

- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative models into real world applications.

- Provide technical expertise and guidance to team members on generative AI related projects.

Requirements :

- B Tech/M Tech in Computer/IT or related field from reputed engineering colleges.

- 3 - 6 years of hands-on experience in ML domain.

- Practical experience with Generative AI & LLMs, Agentic AI and multi-agent systems, LangGraph, LangChain, Hugging Face, OpenAI APIs, RAG architecture and vector databases.

- Proven experience in developing generative models, with expertise in deep learning frameworks such as TensorFlow or PyTorch.

- Strong programming skills in languages like Python and proficiency in machine learning libraries.

- Solid understanding of neural network architectures, optimization techniques, and training methodologies.

- Work experience on cloud platforms like AWS/Azure is desired.