Senior Backend & AI Engineer - Agentic AI Platforms (Python - Azure)
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:
- GitHub Copilot
- Cursor IDE or similar AI-driven coding environments
Exposure to or hands-on work with Agentic AI and orchestration frameworks, such as:
- Microsoft Agent Framework
- LangGraph, LangChain
- Microsoft Semantic Kernel
- AutoGen
- Azure AI Services (Azure OpenAI, Cognitive Services)
Understanding and implementation of:
- Retrieval-Augmented Generation (RAG)
- Vector databases and semantic search
- Long-running, event-driven AI workflows
- Prompt engineering and tool-based agent design
Ability to prototype, integrate, and optimize intelligent automation, copilots, and multi-agent workflows.
- Experience integrating AI models and agents into production-grade backend systems.
Professional Skills
- Ability to work independently with minimal supervision.
- Strong communication skills with English proficiency at B2/C1 level.
- Strong ownership mindset and passion for building scalable platforms.
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
Skills
- Agentic AI
- Agile
- AI
- API
- Api Design
- AutoGen
- Automation
- Azure
- Azure Application Insights
- Azure DevOps
- Azure Functions
- Azure Service Bus
- BPMN
- Clean Architecture
- Cloud
- Cloud Native
- Cosmos Db
- Data Pipelines
- Data Science
- Design Patterns
- DevOps
- Distributed Systems
- Embeddings
- Event Driven Architecture
- FastAPI
- Flask
- GitHub
- Github Copilot
- Jira
- LangChain
- LangGraph
- LLM
- Microservices
- NoSQL
- OpenAI
- Prompt Engineering
- pytest
- Python
- RAG
- REST
- Semantic Kernel
- Semantic Search
- Test Automation
- Unit Testing
- Vault
- Vector Databases
- Vector Search