Senior Fullstack Engineer - Backend Heavy

Job Overview

We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.

Key Responsibilities

Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
Write clean, maintainable, and testable code, adhering to best practices and coding standards.
Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

Bachelor s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
Expertise in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
Strong understanding of data structures, algorithms, and software design principles.
Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).
Solid understanding of embeddings and how these work with vector databases
Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
Knowledge of frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with frontend teams.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

Experience with microservices architecture and distributed systems.
Knowledge of CI/CD pipelines and DevOps practices.
Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.

Offer Details