naukri
Python Software Developer
Statusneo Technology Consulting
Dubai, UAE
Senior
3 weeks ago
PythonFastAPIDjangoGoJavaDocker
Free
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PythonFastAPIDjango
About the Role
Key Responsibilities 1. Agent Orchestration & System Architecture Agentic Frameworks: Architect the orchestration layer (Agent of Agents) that coordinates specialized AI workers.
Key Skills for This Role
PythonFastAPIDjangoGoJavaDocker
Responsibilities
- Architect the orchestration layer (Agent of Agents) coordinating specialized AI workers
- Design Task Router & Intent Classifier services for mapping user prompts to skills/playbooks
- Build scalable, containerized microservices for high concurrency requests on LeverEDGE platform
- Build Data Access Layer (DAL) as secure gateway for AI agents to read/write to SAP S/4HANA and Ariba
- Develop backend logic to interface with Vector Databases and Retrieval Models for Knowledge Mining Chatbot
- Construct robust connectors for external data feeds (e.g., S&P Global, Orbis) for Supply Chain Risk Scoring
- Implement Gateway & Policy Guard services enforcing Authentication, RBAC, and PII/ITAR redaction
- Engineer systems for air gapped or on premise deployment optimizing resource usage on local GPU clusters
- Implement comprehensive logging, tracing, monitoring, and observability mechanisms
Requirements
- Expert proficiency in Python (FastAPI/Django) for AI integration
- Proficiency in Go or Java for high performance microservices
- Deep experience with Docker and Kubernetes for on premise deployment
- Strong background in designing RESTful APIs and gRPC services
- Experience building API Gateways (e.g., Kong, NGINX)
- Proficiency with PostgreSQL and Vector Databases (Weaviate, Milvus)
- Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus
- 5+ years of experience in Backend Engineering with focus on distributed systems or ML/AI platforms
- Proven track record of working with Data Scientists and Frontend Engineers
Full Job Posting
Key Responsibilities
- Architect the orchestration layer (Agent of Agents) that coordinates specialized AI workers
- Design the Task Router & Intent Classifier services that map user prompts to specific skills/playbooks
- Build scalable, containerized microservices that handle high concurrency requests for the LeverEDGE platform
- Build the Data Access Layer (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba
- Build a scalable, secure, observable connection layer to the central data platform
- Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models
- Construct robust connectors for external data feeds (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring engines
- Implement Gateway & Policy Guard services that enforce Authentication, RBAC, and PII/ITAR redaction
- Engineer systems for strictly air gapped or on premise deployment, optimizing for efficient resource usage on local GPU clusters
- Implement comprehensive logging, tracing, monitoring, and observability mechanisms adhering to EDGE policies
Technical Requirements
- Expert proficiency in Python (FastAPI/Django) for AI integration
- Go or Java for high performance microservices
- Deep experience with Docker and Kubernetes for deploying scalable applications in on premise environments
- Strong background in designing RESTful APIs and gRPC services
- Experience building API Gateways (e.g., Kong, NGINX) for traffic management and security
- Proficiency with Relational Databases (PostgreSQL) for transactional data
- Proficiency with Vector Databases (Weaviate, Milvus) for semantic search applications
- Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus
Professional Qualifications
- 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production
- Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences
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