Python AI developer

AI engineer with Python experience developing applications powered by LLMs and integrating with data warehouse like GCP Big Query & other standard data sources.

• Design, develop, and maintain core functionalities and backend services using Python, focusing on AI and LLM integration.
• Integrate Large Language Models (LLMs) such as OpenAI, GPT, Llama, or others into applications to create intelligent, AI-powered features.
• Explore and apply LLM capabilities, including summarization, classification, RAG (Retrieval-Augmented Generation), prompt engineering, and prompt pipelines.
• Develop and implement efficient data processing pipelines for structured and unstructured data, ensuring data quality for AI models.
• Collaborate with cross-functional teams (e.g., product managers, data scientists, DevOps) to define, design, and ship new AI features and integrate LLMs effectively.
• Write clean, maintainable, well-tested, and well-documented Python code, adhering to best practices and coding standards.
• Ensure the reliability, performance, scalability, and security of AI/LLM-based applications, identifying and correcting bottlenecks.
• Conduct technical analysis of tasks, participate actively in scrum meetings, and deliver value committed for sprints.
• Stay up-to-date with the latest advancements in generative AI, LLM architectures, machine learning, and related technologies, sharing insights with the team.
• Participate in code reviews, contribute to technical improvements, and assist in troubleshooting and debugging issues.

Required Skills and Qualifications:

• 3+ years of proven experience in Python software development (Full stack or Backend), with a strong emphasis on backend development.
• Strong knowledge on Python data structures and algorithms
• Proficiency with Python and relevant libraries such as Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Matplotlib etc.
• Solid understanding of machine learning concepts, algorithms.
• Experience with REST APIs and building scalable backend services.
• Familiarity with database technologies (e.g., PostgreSQL, MongoDB, SQL/NoSQL).
• Familiarity/experience with Cloud technologies(AWS, GCP, Azure etc.).
• Experience with version control systems, particularly Git.
• Strong problem-solving skills, analytical abilities, and attention to detail.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts clearly.

Preferred Skills and Qualifications (Nice to Have):

• Hands-on experience with Large Language Models (LLMs) using RAG and their application in real-world scenarios.
• Familiarity with data quality and data governance concepts.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.