Architect, build, and maintain scalable backend systems and APIs using Python and modern frameworks (e.g., FastAPI, Django, Flask)
Design and extend services to integrate with databases, authentication, and third-party APIs
Develop and maintain data processing pipelines and backend integrations for product features
Own end-to-end delivery: backend architecture, deployment, CI/CD pipelines, testing, and performance optimization
Implement and expose AI/ML/GenAI features (e.g., LLM integrations, embeddings, vector search) as part of backend services
Collaborate with frontend developers on API design and occasionally contribute to frontend features (React/TypeScript)
Participate in code reviews, bug triage, and feature optimization
Work closely with product, design, and data teams in agile environments (Scrum/Kanban)

8+ years of professional software development experience, with a strong focus on backend systems
Deep proficiency in Python for building scalable services and APIs
Solid understanding of databases (PostgreSQL, MongoDB, or equivalent) and data modeling
Experience with RESTful APIs, microservices, and containerized deployments (Docker/Kubernetes)
Strong foundation in software engineering best practices: testing, CI/CD, modular code, and performance tuning
Excellent problem-solving, communication, and collaboration skills
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain) and interest in Generative AI applications is nice to have
Knowledge of MLOps practices (CI/CD for ML, experiment tracking, model deployment pipelines) is nice to have
Experience with frontend technologies (React, TypeScript) to support full-stack development when needed is nice to have
Exposure to cloud platforms (AWS, GCP, Azure) and serverless architectures is nice to have

Senior Fullstack Backend Engineer, Python, AI/ML

Key skills