Backend Engineer

Job Description

Job Title: Backend Engineer Location: Remote / Hybrid Employment Type: Full-time About the Role We are looking for a skilled and motivated Backend Engineer with a strong foundation in Python and a passion for building scalable, intelligent systems. You will be instrumental in developing APIs, integrating LLM-based solutions, and contributing to AI-first applications. This role is perfect for someone who thrives in a fast-paced environment, is comfortable mentoring junior engineers, and is eager to work on innovative applications at the intersection of AI and product development. Key Responsibilities Design, develop, and maintain scalable APIs using Python and frameworks like FastAPI. Build and optimize backend services and infrastructure using MongoDB , Docker , and cloud platforms like AWS . Develop and integrate LLM-based features , including Retrieval-Augmented Generation (RAG) applications. Write clean, maintainable, and well-tested code with strong emphasis on unit testing and debugging. Collaborate with cross-functional teams, including frontend developers and data scientists. Guide and support junior engineers by providing mentorship and technical direction. Embrace and promote an AI-first mindset throughout the development lifecycle. Contribute to performance monitoring, logging, and system stability improvements. Required Qualifications 3+ years of experience in Python backend development. Hands-on experience with API development using one of: FastAPI , Flask , or Django . Strong knowledge of MongoDB and RESTful service architecture. Familiarity with Docker and containerized deployment pipelines. Experience with AWS or Google Cloud Platform services. Proven experience building or integrating LLM-based applications , especially RAG pipelines . Excellent problem-solving and debugging skills . Comfortable guiding junior developers and conducting code reviews. Nice to Have Experience with any frontend frameworks (Next JS, React, Vue, or similar). Familiarity with DevOps practices and CI/CD pipelines. Knowledge of vector databases and semantic search tools (e.g., FAISS, Pinecone, Weaviate). Exposure to AI/ML model deployment and scaling. What We Offer Opportunity to work on cutting-edge AI projects. Collaborative and innovative work environment. A chance to grow as a leader while working on impactful solutions.