AI SW Engineer

As an AI Software Engineer, you will be responsible for the end-to-end development, deployment, and support of enterprise-grade AI and software solutions. This includes evaluating and selecting technologies, designing scalable architectures, developing applications, managing infrastructure, implementing CI/CD pipelines, overseeing deployments, and providing ongoing production support. Additionally, you will build, maintain, and optimize the technical platforms and engineering practices that enable teams to efficiently collaborate, develop, deploy, and operate these solutions at scale. Your skills and experience 5-8Yrs experience in Python software development experience with Django, Flask, FastAPI, or equivalent frameworks. Experience building LLM/GenAI applications, RAG solutions, and AI agents using LangChain, LangGraph, or equivalent frameworks. Strong understanding of Git, GitLab, CI/CD, REST APIs, PostgreSQL, and application deployment. Working experience with cloud/virtualized infrastructure, preferably Azure and OpenStack. Experience with Nginx, HTTPS/TLS, Linux/Windows server environments, and application services. Working knowledge of React/JavaScript for maintaining web applications. Experience using AI-assisted coding tools such as Cursor, GitHub Copilot, or equivalent. Strong troubleshooting skills and the ability to independently take an application from requirement, design, development, deployment to production support. Strong appetite for continuous learning and experimentation, with the ability to independently explore emerging AI, software, cloud, and developer technologies, rapidly build proofs-of-concept, and identify opportunities to apply them to enterprise solutions. Nice-To-Have Docker/Kubernetes, Terraform, Ansible, PowerShell. Azure AI/Azure OpenAI, vector databases/pgVector, MCP, and AI evaluation/observability, RAGAS RAG evaluation, ML, fine-tuning. Experience with enterprise identity, authentication, and security platforms. Experience with SharePoint, Power BI, Power Apps, and Microsoft Copilot Studio, including integration with enterprise applications, data sources, workflows, and AI-powered business solutions.