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Senior Backend & AI Engineer - Agentic AI Platforms (Python - Azure)

Role overview

Qualifications

  • 8+ years of professional software engineering experience
  • 5+ years of hands-on experience with Python backend development (FastAPI, Flask, or similar)
  • Experience applying Data Science concepts within backend and AI-driven systems
  • Ability to work independently with minimal supervision

Responsibilities

  • Design and build next-generation Agentic AI platforms
  • Develop AI-powered microservices, intelligent agents, data pipelines, and event-driven workflows
  • Integrate LLMs, retrieval pipelines, vector databases, and agent frameworks on Microsoft Azure
  • Prototype, integrate, and optimize intelligent automation, copilots, and multi-agent workflows

Key facts

  • Remote from: Colombia
  • Full time
  • Senior (5-10 years)
  • Backend Engineer
  • English

Hard skills

Other skills

  • Communication

About the company

Newton Vision Co. logo

Newton Vision Co.

IT Services & IT Consulting

Our company specializes in Business Process Outsourcing (BPO), fractional CFO and CTO services, revenue generation strategies, custom software development, digital transformation solutions, management and financial consulting, revenue analytics and optimization, and the development of Centers of Excellence.

Company details

IndustryIT Services & IT Consulting
Company size51 - 200

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Job 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:

  • 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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