Python GenAI Developer

Educational Requirements

Bachelor of Engineering

Service Line

Information Systems

Responsibilities

• Develop and maintain applications using Python.
• Build and integrate Generative AI solutions using Large Language Models (LLMs).
• Design and implement APIs and backend services.
• Work with AI/ML frameworks and libraries for model development and integration.
• Develop prompt engineering strategies and optimize AI model outputs.
• Integrate AI solutions with enterprise applications and databases.
• Collaborate with cross-functional teams to understand business requirements.
• Troubleshoot, debug, and optimize application performance.

Additional Responsibilities

• Preferred Skills Exposure to Vector Databases (FAISS, ChromaDB, Pinecone).
• Knowledge of AI agents and chatbot development.
• Understanding of MLOps concepts and model deployment.
• Good analytical and problem-solving skills.
• Key Competencies Strong communication and collaboration skills.
• Quick learner with a passion for emerging AI technologies.
• Ability to work in a fast-paced environment and deliver quality solutions.
• Keywords: Python, Generative AI, LLM, Prompt Engineering, LangChain, RAG, Hugging Face, OpenAI, Machine Learning, AI Chatbots, REST API, SQL, Vector Database.

Technical and Professional Requirements

• Strong knowledge of Python programming.
• Understanding of Generative AI concepts, LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation).
• Experience with AI/ML libraries such as LangChain, Hugging Face, OpenAI APIs, Transformers, Scikit-learn.
• Knowledge of REST APIs, JSON, and Microservices.
• Familiarity with SQL/NoSQL databases.
• Understanding of Git and version control systems.
• Basic knowledge of cloud platforms such as Azure, AWS, or GCP.

Preferred Skills

• Technology->AI-Data science->PYTHON