Key Responsibilities :

- Design, develop, and maintain scalable backend applications and REST APIs using Python.

- Build backend services using frameworks such as FastAPI, Flask, or Django.

- Develop efficient data-processing workflows and integrations.

- Design and optimize relational database schemas using PostgreSQL, MySQL, or equivalent databases.

- Implement query optimization, indexing, and efficient database operations.

- Work with ORMs such as SQLAlchemy or equivalent technologies.

- Integrate LLM APIs from providers such as OpenAI, Anthropic, or open-source models into backend applications.

- Develop and optimize prompts for different business use cases through effective prompt engineering.

- Work with agent frameworks such as LangChain or similar frameworks where required.

- Build secure, scalable, and production-ready AI-powered backend services.

- Collaborate with product, engineering, and AI teams to translate business requirements into technical solutions.

- Implement automated testing, monitoring, and performance improvements.

- Follow software development best practices including version control, code reviews, and documentation.

DevOps & Cloud Responsibilities:

- Work with Git and CI/CD pipelines for automated development and deployment.

- Containerize applications using Docker and deploy/manage workloads using Kubernetes.

- Work with cloud platforms such as AWS, Azure, or GCP.

- Support production deployments, monitoring, troubleshooting, and performance optimization.

- Exposure to Infrastructure as Code (IaC) tools and practices is an added advantage.

Required Candidate Profile:

- 5 - 9 years of experience in backend/software development with strong Python expertise.

- Strong proficiency in Python and backend application development.

- Hands-on experience with FastAPI, Flask, or Django.

- Strong knowledge of REST APIs and backend architecture.

- Hands-on experience with PostgreSQL, MySQL, or equivalent relational databases.

- Strong understanding of SQL, query optimization, indexing, schema design, and ORMs.

- Practical experience integrating LLM APIs into backend applications.

- Strong understanding of prompt engineering and LLM-based application development.

- Experience with Git, CI/CD, Docker, Kubernetes, and cloud platforms.

- Strong problem-solving and analytical skills.

- Ability to work independently as well as collaboratively in a fast-paced environment.

Good to Have:

- Experience with LangChain or similar agent frameworks.

- Experience working with open-source LLMs.

- Knowledge of AI agents, RAG, embeddings, and vector databases.

- Experience with Infrastructure as Code (IaC).

- Experience building AI-powered products or enterprise GenAI applications.

Key Skills:

- Python | FastAPI | Flask | Django | REST APIs | SQL | PostgreSQL | MySQL | SQLAlchemy | Database Optimization | LLM Integration | Prompt Engineering | OpenAI | Anthropic | LangChain | Git | CI/CD | Docker | Kubernetes | AWS | Azure | GCP