• Own critical components end-to-end and deliver measurable improvements in system quality, scalability, and reliability. • Own delivery for significant features or systems: clarify requirements, design solutions, execute, ship, and iterate. • Design and build scalable backend services, APIs, and data pipelines that support core product functionality. • Drive system design decisions, balancing scalability, performance, reliability, and cost. • Define how quality is measured for your area (success metrics, testing strategy, observability) and automate it wherever possible. • Lead structured experimentation: define hypotheses, evaluate results, and translate insights into product and system improvements. • Improve operational readiness: deployment automation, monitoring/alerting, incident response, and performance optimization. • Mentor engineers through design reviews, code reviews, and hands-on technical guidance. • Influence engineering best practices, architecture decisions, and long-term technical direction.

• Own delivery for significant features or systems: clarify requirements, design solutions, execute, ship, and iterate. • Design and build scalable backend services, APIs, and data pipelines that support core product functionality. • Drive system design decisions, balancing scalability, performance, reliability, and cost. • Define how quality is measured for your area (success metrics, testing strategy, observability) and automate it wherever possible. • Lead structured experimentation: define hypotheses, evaluate results, and translate insights into product and system improvements. • Improve operational readiness: deployment automation, monitoring/alerting, incident response, and performance optimization. • Mentor engineers through design reviews, code reviews, and hands-on technical guidance. • Influence engineering best practices, architecture decisions, and long-term technical direction.

• Architect and develop custom Magento modules, plugins, and extensions in accordance with best practices. • Build and maintain RESTful and GraphQL APIs for front-end and third-party integrations. • Conduct thorough code reviews and enforce coding standards across the backend team. • Troubleshoot, debug, and resolve complex Magento performance and functionality issues. • Design and optimize MariaDB schemas, queries, and indexing strategies for high-traffic eCommerce workloads. • Manage and optimize application deployments on Linux servers running Nginx. • Work within the Nexcess managed hosting environment, leveraging platform-specific tooling and support channels. • Independently analyze feature requests and technical problems, outlining proposed approaches to the Development Lead before committing to implementation. • Produce clear, accurate time estimates for tasks and projects; proactively flag scope risks. • Participate in sprint planning, stand-ups, and retrospectives; keep tickets and documentation up to date. • Collaborate cross-functionally with front-end developers, QA, and business stakeholders. • Other duties as assigned.

Role Description We at Coforge are hiring a Senior Python Developer - AI Engineer with the following skill set. - Develop and maintain high-performance microservices using Python and FastAPI. - Support the migration of frontend components from Angular to React and backend services from .NET/Node. - Build and integrate RAG-based LLM features and Vector Databases into industrial engineering workflows. - Collaborate with Data Engineers to ensure application logic aligns with Databricks and Microsoft Fabric architectures. - Implement automated tests and documentation for new AI service components to ensure production readiness. Qualifications - Experience with Python: Specifically FastAPI for building microservices and APIs. - Frontend Development: Professional experience with ReactJS (TS/JS). - Backend Versatility: Experience with .NET/C# or Node.js. - AI/LLM Implementation: Experience implementing RAG patterns and working with Vector Databases (e.g., ChromaDB). Requirements - Migration Experience: Familiarity with transitioning applications from Angular to React. - Database Knowledge: Experience with MongoDB and relational databases. - Cloud Services: Experience with Azure ecosystem and Azure AI Services. - Data Platforms: Familiarity with Databricks or Microsoft Fabric. - Authentication: Experience with Azure AI/Entra ID (formerly Cognito/AD). - Domain Knowledge: Interest in hydraulics or industrial engineering calculations. - Testing: Experience with unit and integration testing for AI-driven applications. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.