Tanisha Systems - Python Backend Developer

Key Responsibilities : 1. Backend Development : - Design, build, and maintain Python-based backend services, APIs, and data pipelines. - Manage and optimize SQL databases (schema design, query optimization, migrations) in collaboration with data engineers and analysts. 2. Process Automation & AI : - Integrate LLM API endpoints (OpenAI, Anthropic, or similar) into existing backend applications and build LLM-powered automation workflows. - Apply strong prompt engineering to make outputs reliable and production-ready. - Partner with product/ops to identify and engineer automation opportunities. 3. DevOps & Infrastructure : - Own the full development lifecycle from local dev through CI/CD to production using Git, Docker, and cloud platforms (AWS/Azure/GCP). - Monitor system health, manage incident response, and contribute to infrastructure-as-code standards. 4. Collaboration & Communication : - Translate technical concepts for non-technical stakeholders, write clear documentation, and act as a trusted technical partner by asking the right questions and pushing back when requirements are unclear. Required Qualifications : 1. Python : - Strong proficiency for backend development, APIs, and data processing; familiarity with FastAPI, Flask, or Django. 2. SQL : - Hands-on experience with a relational database (PostgreSQL, MySQL, or equivalent) including query optimization, indexing, schema design, and ORMs (SQLAlchemy or equivalent). 3. LLM Integration & Prompt Engineering : - Practical experience integrating LLM API endpoints (OpenAI, Anthropic, or open-source) into existing backend applications, with strong prompt engineering. - Familiarity with agent frameworks (LangChain or similar) is a plus. 4. DevOps : - Proficiency with Git, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP); IaC experience is a plus. Preferred Qualifications : - 5-7 years in backend software development. - Familiarity with vector databases, RAG pipelines, multi-agent orchestration, or workflow automation tooling for business operations.