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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Developer with AI - **Company:** Cogent Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $60,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, User Authentication, Automation of Tests, Unit Testing, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Data Cleansing, Extract Transform Load (ETL), Data Mining, Software Debugging, Software Design Patterns, DevOps, Programming Tools, Django Web Framework, Revision Control Systems, Python (Programming Language), PostgreSQL, Machine Learning, Enterprise Messaging Systems, Microsoft SQL Server, MongoDB, MySQL, NumPy, Object-Oriented Software Development, Oracle (Applications), Performance Tuning, RabbitMQ, Recommender Systems, Tensorflow, Secure Coding, SQL Databases, Systems Integration, Unstructured Data, Web Application Frameworks, Data Processing, Enterprise Software Applications, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Software Security, Backend, Git, Fastapi, Pandas, Scikit Learn, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Api Design, Restful APIs, Data Pipelines, Docker, Jenkins - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9eeeacaa9f248778 ## About the Role 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. ## Description · 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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