Generative AI Developer

We are looking for a talented Generative AI Developer with 1- 4 years of experience to

join our team and contribute to building next-generation AI-driven applications. The ideal

candidate will have strong expertise in Python, AI agents, RAG pipelines, and practical

experience across machine learning, deep learning, NLP, and computer vision. You will

work on designing, developing, and deploying generative AI systems in production.

Role & responsibilities

• Design, develop, and optimize AI agent workflows, including multi-agent systems and agentic RAG pipelines.
• Implement and maintain solutions using frameworks such as LangChain, LangGraph, or Autogen.
• Build, fine-tune, and deploy generative AI models (LLMs) for real-world use cases.
• Work with both relational (PostgreSQL) and non-relational databases (MongoDB), and manage vector databases (Milvus, Qdrant) for semantic search and retrieval.
• Develop custom machine learning and deep learning models for NLP and computer vision applications.
• Apply prompt engineering strategies for LLM applications and perform model fine-tuning for domain-specific tasks.
• Collaborate with cross-functional teams to integrate AI capabilities into scalable products.
• Stay updated on the latest research in generative AI, multi-agent frameworks, and applied ML solutions.
• Strong experience in using AI-native development framework like Cursor.

Must-Have Skills

• Strong proficiency in Python.
• Solid understanding of AI Agents, Multi-Agent Systems, and Agentic RAG.
• Hands-on experience with LangChain, LangGraph, or Autogen.
• Knowledge of PostgreSQL, MongoDB, and vector databases (Milvus, Qdrant).
• Proven experience in developing and deploying Machine Learning and Deep Learning models.
• Practical knowledge in Natural Language Processing.
• Experience with Prompt Engineering and LLM fine-tuning.