> Markdown version of [/jobs/ext/1243477-python-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1243477-python-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python AI Engineer - **Company:** Tata Consultancy Services Limited - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Salary:** $80,000.0 - $100,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Automation of Tests, Big Data, Cloud Computing, Profiling, Continuous Integration, Extract Transform Load (ETL), Relational Databases, Database Queries, Linux, Python (Programming Language), PostgreSQL, Machine Learning, Apache Maven, NoSQL, Query Optimization, RabbitMQ, Role-Based Access Control, Tensorflow, SQLAlchemy, Data Logging, Data Processing, Scripting, Data Ingestion, Flask (Web Framework), Large Language Models, Spring-boot, Git, Fastapi, Pandas, Pytest, Git Flow, Apache Kafka, Api Design, Data Pipelines, Docker, Jenkins, Microservices - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6e793e39138e9c31 ## About the Role * 5+ years of professional experience in Python development. * Expertise in Python and Pandas for data manipulation and analysis. * Strong SQL skills and hands-on experience with PostgreSQL (query tuning, schema design). * Proficiency in PyTest for automated testing and CI/CD integration. * Familiarity with ETL patterns and large-scale data processing. * Experience with Git-based workflows and CI/CD tools. * Knowledge of Linux, Docker, and scripting for automation. * Strong communication and collaboration skills; Agile experience. Generic Managerial Skills, If any * Experience with SQLAlchemy, Alembic, and ORM frameworks. * Familiarity with Airflow or Prefect for workflow orchestration. * Exposure to Kafka or RabbitMQ for messaging. * Knowledge of FastAPI or Flask for API development. * Prior experience in BFSI domain ## Description We are seeking a skilled Python Developer with strong expertise in PostgreSQL, and PyTest. The role involves building robust data processing solutions, optimizing relational databases, and implementing automated testing frameworks for enterprise-grade applications. Roles & Responsibilities * Design and develop data processing pipelines and utilities using Python. * Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD * Python, AI/ML, Tensorflow, LLM, GenAI * Implement efficient data ingestion and transformation workflows using Pandas. * Model, implement, and optimize PostgreSQL schemas and queries for large datasets. * Develop and maintain automated test suites using PyTest (unit, integration, regression). * Integrate data and service layers via REST/gRPC and enforce type safety. * Build and maintain CI/CD pipelines with quality gates and test automation. * Ensure application observability through logging, metrics, and performance profiling. * Implement data security and compliance measures (RBAC, encryption, auditing). * Collaborate with cross-functional teams to deliver production-ready solutions. * Provide production support and drive root-cause analysis for critical issues ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)