N-iX
SeniorPythonEngineer(AIexperience)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer (AI experience) at N-iX. Skills: Python, AI engineering, Microservices, API design. Architect orchestration layer. Coordinate specialized AI workers”
Industry & Context.
Error handling; Data validation
On-premise deployment, Air-gapped deployment
What They're Looking For.
Must Have
5+ years of experience in Python, Expert proficiency in Python, Experience with Docker and Kubernetes, background in designing RESTful APIs, gRPC services, using API Gateways, Proficiency with Relational Databases, Proficiency with Vector Databases, Ability to deliver Agile software, Experience building high-availability systems, Experience building auditable systems
Nice to Have
Familiarity with enterprise integration patterns, Familiarity with ERP protocols, OData, SOAP
What You'll Do.
Architect orchestration layer
Coordinate specialized AI workers
Manage error handling
Design routing services
Design classification services
Map user prompts to skills
Map user prompts to playbooks
Ensure deterministic execution
Build scalable microservices
Handle high-concurrency requests
Ensure low-latency responses
Construct data access layer
Enforce strict validation logic
Build connection layers
Ensure transactions authenticated
Ensure transactions authorized
Ensure transactions audited
Develop backend logic
Interface with Vector Databases
Construct connectors for data feeds
Handle data normalization
Implement security services
Implement PII redaction
Implement ITAR redaction
Engineer systems for air-gapped deployment
Engineer systems for on-premise deployment
Implement logging mechanisms
Implement tracing mechanisms
Implement monitoring mechanisms
How You'll Work.
Team & Collaboration
Structured delivery model; Enterprise systems; Enterprise data
Process & Methodology
Agile
Full Job Description
N-iX is seeking a Senior Python Engineer to build production-grade application architecture for one of our clients' AI transformation initiatives. You will act as the technical anchor for developing robust, on-premise microservices that power an AI engineering platform and autonomous AI agents. Your role involves designing secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact safely with enterprise systems and sensitive engineering data within a structured delivery model. Responsibilities: Architect the orchestration layer (Agent of Agents) to coordinate specialized AI workers, manage state, task routing, and error handling. Design routing and classification services that map user prompts to specific skills and playbooks, ensuring deterministic execution of critical engineering and operational workflows. Build scalable, containerized microservices to handle high-concurrency requests and ensure low-latency responses for real-time AI-assisted operations. Construct a secure data access layer for connectivity to enterprise ERP systems, enforcing strict validation logic before any transaction is committed. Build secure and observable connection layers to central data platforms, ensuring all transactions are authenticated, authorized, and audited. Develop backend logic interfacing with Vector Databases and construct robust connectors for external data feeds, handling rate limiting, caching, and data normalization. Implement defense-grade security services, including RBAC and PII/ITAR redaction, and engineer systems for air-gapped or on-premise deployment. Implement comprehensive logging, tracing, and monitoring mechanisms adhering to enterprise best practices. Requirements: At least 5+ years of experience in Python, specifically building distributed systems or platforms that serve ML/AI models in production. Expert proficiency in Python (FastAPI/Django) Experience with Docker and Kubernetes (k8s) for deploying scalable applicatio
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