Python Developer with AI

· Develop, enhance, and maintain Python-based applications, APIs, automation scripts, and data processing solutions.

· Build and integrate RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.

· Work on AI/ML-enabled solutions including model integration, data pipelines, intelligent automation, and analytics use cases.

· Support integration of machine learning models or GenAI services into enterprise applications.

· Develop reusable Python utilities for data extraction, transformation, validation, reporting, and workflow automation.

· Work with structured and unstructured data from applications, documents, reports, emails, transcripts, and business workflows.

· Collaborate with data scientists, AI engineers, product owners, business analysts, QA teams, and DevOps teams.

· Write clean, modular, testable, and secure Python code.

· Perform debugging, troubleshooting, performance tuning, and production support.

· Ensure applications follow enterprise standards for security, scalability, reliability, and maintainability.

Build secure Python and AI-enabled solutions for enterprise use cases. We are looking for an experienced Python Developer with practical AI/ML exposure to support technology initiatives across industries. The ideal candidate should have strong hands-on experience in Python development, backend engineering, REST API development, data processing, and AI/ML model integration.

Python Developer with AI

Primary Skills: Python, FastAPI, Flask, Django, REST APIs, Backend Development, AI/ML, Data Processing, Model Integration, Pandas, NumPy, Scikit-learn, SQL, Enterprise Applications

Secondary Skills: TensorFlow, PyTorch, LangChain, GenAI, LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG, ETL, Git, CI/CD, Jenkins, Docker, Kubernetes, Cloud Platforms, Secure Coding, · 5+ years of hands-on experience in Python development.

· Strong experience with Python, FastAPI, Flask, Django, REST APIs, and backend development.

· Good understanding of AI/ML concepts, model lifecycle, data preprocessing, and model integration.

· Hands-on experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, or similar AI/ML libraries.

· Experience working with databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar.

· Knowledge of data processing, ETL workflows, and API-based system integrations.

· Experience with Git, CI/CD pipelines, Jenkins, or similar development tools.

· Strong understanding of object-oriented programming, design patterns, clean coding, and unit testing.

· Knowledge of application security, authentication, authorization, and secure coding practices.

· Experience working in Agile/Scrum development environments.

· Ability to work with unstructured data such as PDFs, documents, emails, transcripts, reports, or operational records.

· Ability to work across business domains and translate use cases into scalable Python and AI-enabled solutions.

Preferred Skills & Certifications

· Experience integrating AI/ML models into production applications.

· Exposure to GenAI, LLMs, prompt engineering, embeddings, vector databases, or RAG-based applications.

· Understanding of AI use cases such as document intelligence, customer analytics, recommendation engines, forecasting, process automation, and operational insights.

· Experience with cloud platforms such as AWS, Azure, or GCP.

· Knowledge of Docker, Kubernetes, or containerized application deployment.

· Exposure to Kafka, RabbitMQ, or other messaging systems.

· Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar.

· Familiarity with MLOps, model deployment, monitoring, and versioning tools.

· Experience building enterprise-grade AI or automation solutions in production environments., Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field. Equivalent professional experience will also be considered.

Join a technology-driven organization supporting clients across multiple industries. The organization focuses on building secure, scalable, data-driven, and AI-enabled solutions that improve operational efficiency, customer experience, automation, analytics, and business decision-making. As a Python Developer with AI exposure, you will play a key role in developing backend applications, APIs, data processing solutions, and AI-enabled enterprise applications for cross-industry use cases. This role is ideal for a hands-on developer who can build production-ready Python solutions while contributing to AI/ML model integration, intelligent automation, document processing, analytics, and GenAI-enabled business applications.