We are seeking a skilled Python developer to contribute to our team and work on the development of scalable data pipelines and LLM-driven applications.

The ideal candidate will play a key role in integrating large language models into production-ready systems, writing and refining prompts, and building APIs that are robust, efficient, and secure.

This role requires a blend of strong Python engineering skills, experience with LLMs or AI-based systems, and a good grasp of data engineering practices.

You will work closely with cross-functional teams including data scientists, product managers, and backend engineers to deliver innovative AI-powered solutions that solve real-world problems.

Your contribution will directly impact the usability and performance of our data infrastructure and AI capabilities.

Key Responsibilities :

- Design, develop, and maintain high-performance Python applications for AI/LLM integration.

- Build and manage scalable data pipelines for ingesting, transforming, and processing large datasets.

- Collaborate with data scientists to design and iterate on prompt engineering for LLMs.

- Deploy LLM-based solutions as production-grade APIs using frameworks like FastAPI or Flask.

- Optimize API performance and scalability, and ensure proper monitoring and error handling.

- Work with DevOps and MLOps teams to automate deployments and CI/CD pipelines.

- Ensure code quality through automated tests, code reviews, and documentation.

Required Skills & Qualifications :

- At least 36 years of experience in backend or data-focused Python development.

- Strong hands-on experience with Python, including experience using libraries like Pandas, NumPy, requests, and asyncio.

- Solid experience with RESTful API development using frameworks such as FastAPI or Flask.

- Experience working with or integrating large language models (LLMs), either through APIs or open-source libraries.

- Good understanding of prompt engineering, token limits, temperature, and LLM optimization techniques.

- Experience with data pipeline tools and frameworks.

- Familiarity with cloud platforms and containerization.

- Strong debugging and performance optimization skills.

- Excellent communication and collaboration skills.

Good to Have :

- Prior experience with MLOps or deploying machine learning models into production.

- Familiarity with vector databases for retrieval-augmented generation (RAG).

- Knowledge of authentication, rate limiting, and securing APIs.

- Experience working in agile product teams