Python AI Engineer

We are seeking a skilled Python Backend Engineer to develop and scale backend systems powering AI/LLM-driven product features. This role requires strong software engineering fundamentals and experience integrating Generative AI capabilities like RAG, LangChain, and LLM APIs into production environments. You will collaborate with AI/ML specialists and product teams to ensure intelligent features are reliable, scalable, and performant.

Responsibilities:

• Design, develop, and maintain high-performance Python backend services.
• Build and maintain RESTful APIs using FastAPI or similar frameworks.
• Work extensively with SQL and NoSQL databases including PostgreSQL, Redis, and MongoDB.
• Integrate LLM/GenAI capabilities such as OpenAI APIs, RAG, LangChain, and LlamaIndex into backend systems.
• Collaborate with AI/ML teams to productionize AI-powered features.
• Ensure scalability, reliability, and performance of AI-enabled services.
• Write clean, testable, and maintainable code following engineering best practices and Test-Driven Development (TDD).
• Participate in code reviews and contribute to architectural and design decisions.
• Work with containerized environments like Docker and CI/CD pipelines.
• Collaborate within an Agile team environment with frontend, DevOps, and product stakeholders.

Requirements:

• 5-7+ years of robust Python backend development experience.
• Proven experience building REST APIs with FastAPI, Flask, or Django.
• Strong proficiency with SQL databases (PostgreSQL/MySQL) and familiarity with NoSQL databases (Redis/MongoDB/DynamoDB).
• Practical experience integrating LLM/Generative AI features into applications (e.g., OpenAI APIs, RAG, LangChain, LlamaIndex, vector databases, embeddings).
• Solid understanding of software engineering principles, testing frameworks (pytest/unittest), and version control with Git.
• Knowledge of API security, authentication, and authorization.
• Experience with Docker and CI/CD practices.
• Familiarity with cloud platforms like AWS.

Ideal Candidate Profile:

• Possesses strong Python fundamentals and system design expertise.
• Has prior experience or has experimented with GenAI/LLM integrations.
• Comfortable operating at the intersection of backend engineering and AI-powered features.
• Enjoys tackling challenges related to performance, scalability, and reliability.

Education:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Minimum of 5 years of professional backend development experience.