Software Engineer - Backend

Role Summary

Senior Backend Engineer

Leveredge

Key Responsibilities

• **Agent Orchestration & System Architecture**
• **Agentic Frameworks:**
• Architect the orchestration layer (Agent of Agents) that coordinates specialized AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling.
• **Workflow Logic:**
• Design the "Task Router & Intent Classifier" services that map user prompts to specific skills/playbooks, ensuring deterministic execution of critical financial and engineering workflows.
• **Microservices Design:**
• Build scalable, containerized microservices that handle high-concurrency requests for the LeverEDGE platform, ensuring low-latency responses for real-time market intelligence and design trade-off analysis.
• **Enterprise Integration & API Gateways**
• **Secure SAP Connectivity:**
• Build the "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, enforcing strict validation logic before any transaction is committed.
• **Scalable Data Lakehouse connectivity:**
• Build a scalable, secure, observable connection layer to the central data platform ensuring all read transactions are authenticated, authorized, and properly audited.
• **RAG Integration:**
• Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models, enabling the "Knowledge Mining Chatbot" to securely query historical proposals and technical documents.
• **External API Managers:**
• Construct robust connectors for external data feeds (e.g., S&P Global, Orbis) to power the Supply Chain Risk Scoring engines or LeverEDGE component comparative analysis, handling rate limiting, caching, and data normalization.
• **Security, Performance & Deployment**
• **Defense-Grade Security:**
• Implement "Gateway & Policy Guard" services that enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction before data ever reaches an LLM.
• **On-Premise Optimization:**
• Engineer systems for strictly air-gapped or on-premise deployment, optimizing for efficient resource usage on local GPU clusters rather than infinite cloud scaling.
• **Reliability Engineering:**
• Implement comprehensive logging, tracing, monitoring, and observability mechanisms adhering to EDGE policies ensuring enterprise best practices are followed

Technical Requirements

• **Core Languages:**
• Expert proficiency in Python (FastAPI/Django) for AI integration and Go or Java for high-performance microservices.
• **Containerization & Orchestration:**
• Deep experience with Docker and Kubernetes (k8s) for deploying scalable applications in on-premise environments.
• **API Architecture:**
• Strong background in designing RESTful APIs and gRPC services.
• Experience building API Gateways (e.g., Kong, NGINX) for traffic management and security.
• **Database Management:**
• Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
• **Integration Protocols:**
• Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.

Professional Qualifications

• **Experience:**
• 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production.
• **Structured Delivery:**
• Ability to thrive in a "Governance Collision" environment—delivering Agile software (Sprints, MVPs) that passes rigorous "Stage Gate" reviews and Systems Engineering audits.
• **Operational Mindset:**
• Experience building systems that require high availability and auditability, preferably in Fintech, Healthcare, or Defense sectors.
• **Collaboration:**
• Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences.
• Why This Role?
• You are not just building APIs; you are building the "hands" that allow AI to do real work.
• Your code will enable AI agents to autonomously draft defense contracts, forecast critical supply shortages, and validate the safety of engineering designs.
• If you want to build the secure, high-performance architecture that makes AI tangible, join AI71.