Senior Backend Engineer

Join AlvioLabs as a Senior Backend Engineer to build and scale the robust infrastructure powering our Enterprise Agentic AI Platform. You'll architect high-performance APIs, implement AI agent orchestration systems, and ensure our platform can handle enterprise-scale workloads with reliability and security.About Alvio:Alvio is an enterprise-grade Agentic AI platform that enables businesses to accomplish complex tasks through AI automation. Our platform integrates multiple LLM providers, manages containerized AI agents, and provides seamless browser automation, file management, and API integrations.Key Responsibilities:API Development & Architecture:

• Design and implement RESTful APIs using FastAPI 0.115+
• Build scalable microservices architecture with proper separation of concerns
• Implement authentication and authorization using Supabase Auth with JWT
• Create comprehensive API documentation with OpenAPI/Swagger
• Optimize API performance and implement caching strategies

AI Agent System Development:

• Build AI agent orchestration and management systems
• Implement tool execution frameworks with proper sandboxing
• Develop agent versioning and configuration management
• Create workflow execution engines for multi-step AI tasks
• Implement real-time agent communication and status updates

Database & Data Management:

• Design and optimize PostgreSQL schemas with Supabase
• Implement Row Level Security (RLS) policies for multi-tenant architecture
• Create and manage database migrations with proper versioning
• Optimize queries and implement proper indexing strategies
• Handle large-scale data processing and ETL operations

Integration & External Services:

• Integrate multiple LLM providers (Anthropic, OpenAI, Groq, AWS Bedrock)
• Implement webhook systems and event-driven architectures
• Build integrations with external APIs and services (Composio, MCP)
• Manage credential encryption and secure API key storage
• Implement rate limiting and quota management systems

Performance & Scalability:

• Implement async/await patterns for high-concurrency operations
• Design caching strategies using Redis for optimal performance
• Build background job processing with Dramatiq workers
• Implement proper error handling and retry mechanisms
• Monitor and optimize system performance and resource usage

Required Skills & Technologies:Core Backend Development:

• Expert-level Python 3.11+ with comprehensive type hints
• FastAPI framework with dependency injection patterns
• Async/await programming and concurrent processing
• RESTful API design and microservices architecture
• Database design and optimization (PostgreSQL)

AI/ML Integration:

• Experience with LLM APIs and multi-provider integration
• Understanding of AI agent architectures and tool systems
• Knowledge of prompt engineering and structured outputs
• Experience with AI observability and monitoring (Langfuse)
• Familiarity with AI model deployment and scaling

Database & Infrastructure:

• Advanced PostgreSQL with complex queries and optimization
• Supabase platform experience (preferred) or similar BaaS
• Redis for caching and session management
• Database migration management and versioning
• Understanding of ACID properties and transaction management

Security & Authentication:

• JWT token validation and user session management
• API security best practices and input validation
• Encryption and secure credential storage
• Understanding of OAuth 2.0 and authentication flows
• Experience with enterprise security compliance

DevOps & Deployment:

• Docker containerization and multi-stage builds
• CI/CD pipeline setup and management
• Cloud deployment (AWS/GCP) and infrastructure management
• Monitoring and logging implementation (Sentry, Prometheus)
• Performance profiling and optimization

Technical Stack You'll Work With:

• Backend: Python 3.11+, FastAPI 0.115+, Pydantic
• Database: Supabase (PostgreSQL), Redis 5.2+
• AI/ML: LiteLLM 1.72+, multiple LLM providers
• Queue/Jobs: Dramatiq 1.18+, background processing
• Monitoring: Langfuse, Sentry, Prometheus, Structlog
• Security: JWT, encryption (Fernet), credential management
• Tools: Docker, Git, pytest, black, mypy

Preferred Qualifications:

• Experience with AI/ML model serving and inference
• Knowledge of containerized application deployment
• Familiarity with event-driven architectures and webhooks
• Experience with high-traffic, enterprise-scale applications
• Background in fintech or regulated industries
• Contributions to open-source Python projects
• Experience with GraphQL or real-time subscriptions

Key Projects You'll Work On:

• AI agent execution engine with tool orchestration
• Multi-tenant authentication and authorization system
• Real-time agent communication and status updates
• Integration platform for external AI tools and services
• Performance optimization for high-concurrency workloads

What We Offer:

• Cutting-edge AI technology stack and tools
• Professional development budget and conference attendance
• Comprehensive health insurance and wellness benefits
• Opportunity to architect the future of AI automation

Job Types: Full-time, Permanent

Pay: ₹60, ₹100,000.00 per month

Benefits:

• Health insurance
• Internet reimbursement
• Paid sick time

Experience:

• Redis: 5 years (Preferred)
• Dramatiq: 5 years (Preferred)
• Docker: 5 years (Preferred)
• FastAPI: 5 years (Preferred)
• Pydantic: 5 years (Preferred)
• Supabase (PostgreSQL): 5 years (Preferred)

Work Location: In person

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