AI Developer

IGO TECHONOLOGIES; Taguig; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Job summary

IGO TECHONOLOGIES is seeking an AI Developer with strong backend software development experience and hands-on exposure to Large Language Models (LLMs). The role focuses on developing AI-powered solutions, building backend services, and supporting agent-based applications using Microsoft Azure and modern AI tech.

You will integrate Claude/OpenAI APIs, design prompts and tool-calling workflows, and work within an Agile/Scrum environment to ensure CI/CD-based delivery.

Qualifications

• Bachelor's degree.
• At least 5 years of software development experience with backend or service-based systems using C# and/or Python.
• At least 1 year of hands-on experience with Large Language Models (LLMs) or AI-enabled systems.
• Experience in Agile/Scrum environments and CI/CD delivery.
• Strong analytical and debugging skills.

Responsibilities

• Develop and maintain backend services and applications using C# and/or Python.
• Integrate LLMs (Claude/OpenAI) into enterprise applications.
• Design prompts, tool‑calling workflows, and error handling for AI systems.
• Build and support AI agent orchestration using Azure AI Foundry or similar frameworks.
• Implement retrieval augmented generation (RAG) memory and retrieval mechanisms.
• Work with Azure services for deployment, storage, and identity management.
• Develop and integrate RESTful APIs and service-to-service connections.
• Work with SQL Server databases and data integration needs.
• Implement logging, metrics, and tracing for production systems.
• Collaborate in Agile/Scrum and support CI/CD-based delivery.
• Troubleshoot APIs, data flows, and AI system behavior.

Skills

C#

Python

Azure

Claude APIs

OpenAI APIs

Prompt engineering

AI integration

RESTful APIs

SQL Server

Agile/Scrum

CI/CD

Education

Bachelor's degree

Tools

Docker

Azure Container Services

LangGraph

LangChain

Job description

AI Developer

Job Description

We are looking for an AI Developer with strong backend software development experience and hands‑on exposure to Large Language Models (LLMs) and AI‑enabled systems. The ideal candidate will develop and integrate AI‑powered solutions, build backend services, and support agent‑based applications using Microsoft Azure and modern AI technologies.

Key Responsibilities

• Develop and maintain backend services and applications using C# and/or Python.

• Integrate Large Language Models (LLMs), including Claude and OpenAI APIs, into enterprise applications.

• Design and implement prompts, tool‑calling workflows, and error‑handling mechanisms for AI‑powered systems.

• Build and support AI agent orchestration using Azure AI Foundry, Microsoft Agent Framework, or alternative frameworks.

• Implement agent memory and retrieval mechanisms, including Retrieval‑Augmented Generation (RAG).

• Work with Azure services to support application development, deployment, storage, and identity management.

• Develop and integrate RESTful APIs and service‑to‑service connections.

• Work with SQL Server databases and support data integration requirements.

• Implement application logging, metrics, and tracing to monitor production systems.

• Collaborate with cross‑functional teams in an Agile/Scrum environment and support CI/CD‑based delivery.

• Troubleshoot and debug issues across APIs, data flows, backend services, and AI system behavior.

Required Qualifications

• Bachelor's degree.

• At least 5 years of related software development experience developing backend or service‑based systems using C# and/or Python.

• At least 1 year of hands‑on experience working with Large Language Models (LLMs), prompt engineering, or AI‑enabled systems.

• Experience working in Agile/Scrum environments and supporting CI/CD‑based delivery teams.

• Strong analytical, debugging, and problem‑solving skills.

• Ability to understand and troubleshoot APIs, data flows, and AI system behavior.

Technical Skills

• Programming: C# (production services, asynchronous workflows, automated testing), Python

• Cloud Platform: Microsoft Azure (compute, storage, identity, deployment pipelines)

• LLM Integration: Claude APIs, OpenAI APIs, prompt engineering, tool calling, rate limits, error handling

• Agent Orchestration: Azure AI Foundry, Microsoft Agent Framework

• Agent Memory & Retrieval: Retrieval‑Augmented Generation (RAG), Azure AI Search

• Database: SQL Server

• APIs & Integration: RESTful APIs, enterprise authentication, service‑to‑service integration

• Observability: Application logging, metrics, production tracing

• Development Practices: Agile/Scrum, CI/CD, automated testing

Good‑to‑Have Skills

• Knowledge of Docker and Azure Container Services.

• Knowledge of AI Governance and AI Security.

• Exposure to alternative agent orchestration frameworks such as LangGraph and LangChain.