Senior Backend & AI Engineer - Agentic AI Platforms (Python - Azure)
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Python backend development (FastAPI, Flask, or similar)
- REST API design and microservices architecture
- Event-driven systems and asynchronous workflows
- Azure App Service (containers) and Azure Functions
- Azure Service Bus (queues/topics)
- Backend services supporting AI, data-driven workflows, and intelligent automation.
- Cosmos DB (NoSQL; vector search is a plus)
- Writing scalable, cloud-native services on Microsoft Azure
- Experience with Agile project management tools (Jira or Azure DevOps)
Nice to have
- Experience with microservices architectures, event-driven patterns, and messaging systems.
- Familiarity with ELSA workflows or BPMN-style orchestration.
- Test automation and unit testing in Python (PyTest, etc.).
- Experience with Azure services such as: API Management Key Vault Blob Storage Application Insights Azure OpenAI
Full description
About Newton Vision Corp (NVC)
NVC is a rapidly growing technology and digital transformation organization. Our methodology aligns business value with technical acceleration, enabling clients to outperform competitors through our Baseline Insights™ framework. We emphasize delivering meaningful outcomes through a team-based, value-driven approach.
About the Role
We are looking for a Senior Backend & AI Engineer to design and build next-generation Agentic AI platforms, combining Python backend engineering, data-driven intelligence, and AI orchestration.
This role focuses on developing AI-powered microservices, intelligent agents, data pipelines, and long-running event-driven workflows that enable automation, decision-making, and AI-assisted operations at scale.
You will work closely with cloud, AI, and product teams to deliver production-grade AI systems that integrate LLMs, retrieval pipelines, vector databases, and agent frameworks on Microsoft Azure.
Required Qualifications
Technical Expertise
8+ years of professional software engineering experience.
5+ years of hands-on experience with:
- Python backend development (FastAPI, Flask, or similar)
- REST API design and microservices architecture
- Event-driven systems and asynchronous workflows
- Azure App Service (containers) and Azure Functions
- Azure Service Bus (queues/topics)
- Backend services supporting AI, data-driven workflows, and intelligent automation.
- Cosmos DB (NoSQL; vector search is a plus)
- Writing scalable, cloud-native services on Microsoft Azure
- Experience with Agile project management tools (Jira or Azure DevOps)
Solid understanding of software design principles: SOLID, design patterns, clean architecture, and distributed systems.
Applied Data Science & AI Engineering
- Experience applying Data Science concepts within backend and AI-driven systems.
- Data processing and transformation for AI workloads (feature extraction, embeddings, structured outputs).
- Experience building and integrating data pipelines to support AI and agent-based workflows.
- Understanding of data-driven decision logic and AI-assisted automation in production systems.
AI-Enhanced Engineering & Agentic Frameworks
Experience using AI-assisted development tools, including: