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 qualified 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.

📌 Senior Backend Engineer - AI Systems (m/f/x) (Bengaluru)
🏢 Beroe
📍 Bengaluru