Junior Python Developer

You will be responsible for designing, developing, and deploying AI-powered solutions leveraging RAG pipelines and LLMs. Your role will involve working with frameworks like Ollama, LangChain, or similar to build intelligent conversational agents. You will also be required to implement and optimize AI Agent and Agentic Agent architectures for various projects, as well as integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. Collaboration with cross-functional teams to translate business requirements into technical implementations will be an essential part of your responsibilities. Additionally, you will need to write clean, modular, and well-documented Python code and perform research and prototyping of new AI technologies to enhance current solutions. - Design, develop, and deploy AI-powered solutions leveraging RAG pipelines and LLMs. - Work with Ollama, LangChain, or similar frameworks to build intelligent conversational agents. - Implement and optimize AI Agent and Agentic Agent architectures for various projects. - Integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. - Collaborate with cross-functional teams to translate business requirements into technical implementations. - Write clean, modular, and well-documented Python code. - Perform research and prototyping of new AI technologies to enhance current solutions. - Minimum 1 year of experience as an AI/ML or Python Developer. - Strong proficiency in Python and libraries like FastAPI, Flask, or Django. - Hands-on experience with RAG architectures and LLMs (OpenAI, LLaMA, Falcon, etc.). - Experience with Ollama, LangChain, or other AI frameworks. - Knowledge of AI Agents and Agentic Agent systems (e.g., Auto-GPT, BabyAGI, CrewAI). - Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus). - Good understanding of NLP pipelines, embeddings, and model fine-tuning. - Experience with APIs, cloud services (AWS/GCP/Azure), and containerization (Docker). - Problem-solving mindset and ability to work independently on AI projects. You will be part of a collaborative, innovation-driven environment with career growth potential and the opportunity to work on cutting-edge AI projects with RAG and LLM integrations. The company offers a competitive salary based on skills and experience, flexible working hours, and a remote-friendly culture.,