Senior Python AI Developer

Job description

We are looking for an experienced Senior Python AI Developer with a strong background in advanced Artificial Intelligence (AI) to join our forward-thinking development team. The ideal candidate will have extensive experience in developing cutting-edge AI solutions, specifically Generative AI and Agentic AI along with robust backend engineering skills. A good understanding of solution architecture would be a highly valuable addition to your profile. Key Responsibilities: • Design, develop, and deploy scalable backend applications and APIs using Core Python and modern web frameworks. • Architect and implement Generative AI (GenAI) and Agentic AI solutions tailored to business needs. • Build and maintain complex LLM-driven workflows and agents using frameworks like LangChain and LangGraph. • Collaborate with cross-functional teams to integrate AI models into scalable, production-ready applications. • Write clean, maintainable, and efficient code while adhering to software design principles and best practices. Primary Skills (Required): • Core Python: 4+ years of professional software engineering experience with deep expertise in Python. • AI Solutions (GenAI & Agentic AI): Proven experience designing and implementing Generative AI applications and autonomous AI agents. • AI Frameworks: Extensive hands-on experience with LangChain and LangGraph for orchestrating LLM workflows. • Web Frameworks: Strong proficiency in building APIs and full-stack web applications using FastAPI, Flask, and Django. • Data Science Ecosystem: Core expertise in data handling and machine learning, with hands-on use of Scikit-learn, Pandas, and NumPy. • Database: Good understanding and experience working with various Databases (SQL / NoSQL). • Version Control: Strong proficiency in Git and familiarity with CI/CD pipelines. • Fundamentals: Strong understanding of data structures, algorithms, and software design principles. • Clear Communication : Engage directly with clients, ensuring clear communication of technical solutions, requirements, and project updates. Secondary Skills (Nice to Have): • Cloud & DevOps: Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes. • ML & Data Ops: Familiarity with MLOps practices, Natural Language Processing (NLP), or Computer Vision to enhance AI model deployment and scalability.