Senior Backend Engineer - AI Systems

**Job Description** ****Your Tasks**** We are seeking a Senior Backend Engineer to design and build the backend layers that power our platforms, with a focus on secure APIs, data processing pipelines, and resilient storage systems. You will play a key role in shaping our backend architecture, ensuring it is robust, scalable, and secure. This role requires both technical leadership and hands\-on implementation, working closely with cross\-functional teams to deliver end\-to\-end solutions. You'll collaborate closely with Frontend Developers, Data Scientists, AI Engineers, and Product Managers to deliver seamless end\-to\-end solutions. In this role, you will have the opportunity to: * Design, develop, and maintain secure, scalable backend services, APIs, and microservices. * Architect and implement backend layers including API Gateway \& Load Balancer, AI Agent layer, Data Intelligence, Data Extraction, and Data Storage. * Build resilient Python services with frameworks like LangGraph, Celery, PydanticAI, and enforce typed schemas for data quality. * Implement event\-driven processing and long\-running job orchestration with retries, backoff, and idempotency. * Develop integration points with external connectors/SDKs and ensure validation at ingestion. * Optimize backend components for performance, reliability, and cost efficiency at scale. * Work with diverse data stores (e.g., Elasticsearch, Neo4j, DynamoDB, MySQL) ensuring fit\-for\-purpose storage, security, and compliance. * Implement monitoring, observability, and tracing for backend pipelines (Prometheus, Grafana, centralized logging, Langfuse, Arize Phoenix). * Collaborate with frontend, AI/ML, product, and infra teams to deliver seamless solutions. * Document backend architecture, APIs, and workflows for internal reference and onboarding. * Stay current with backend/cloud technologies and recommend improvements. ****Your profile**** * 7\+ years of professional experience in backend software development, with deep expertise in Python. * Proven experience building scalable backend systems with Python services, Celery workers, event\-driven architectures, and API Gateway/ALB. * Solid understanding of microservices patterns, event\-driven systems, and schema validation with tools like PydanticAI. * Hands\-on experience with SQL and NoSQL databases (MySQL, DynamoDB, Neo4j) and search engines (Elasticsearch). * Familiar with Infrastructure as Code (IaC) and CI/CD pipelines for safe, automated releases. * Strong grasp of software engineering principles, security best practices, and data lifecycle management. * Experience with observability and monitoring tools (Prometheus, Grafana, centralized logging, Langfuse, Arize Phoenix). * Comfortable working with Git\-based workflows in collaborative environments. * Excellent problem\-solving and debugging skills. * Strong communication and collaboration abilities. * Strong communication and collaboration abilities, with effective written and spoken English. **Bonus Qualifications** * Experience with Docker and container orchestration. * Knowledge of cloud\-based AI services (e.g., Amazon Bedrock, Azure AI Foundry) and RAG quality frameworks (RAGAS). * Familiarity with graph\-based queries and hybrid search use cases. * Exposure to DevOps or SRE practices, including blue/green deployments, WAF/caching at the edge, and automated rollbacks.