AI Engineer (Generative AI & LLMs) | Hybrid Setup

RecruitNest Consulting; Taguig; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

RecruitNest Consulting seeks an AI Engineer to design and build AI-powered applications using Generative AI, LLMs, and RAG. You will develop AI agents, integrate with enterprise systems, and work with cross-functional teams to deploy solutions.

The ideal candidate has 4+ years in software or AI engineering, strong Python skills, and experience with vector databases, cloud environments, and API integrations. This hybrid role is based in Taguig/BGC, Philippines.

Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field.
• 4+ years in software development or AI engineering.
• Proficiency in Python and software testing/version control.
• Strong knowledge of Generative AI, LLMs, RAG, and AI agents.
• Experience integrating apps via REST APIs and with enterprise systems.
• Familiarity with vector databases and hybrid search.

Responsibilities

• Design and develop AI-powered applications using Python, Generative AI, and Large Language Models (LLMs).
• Build and optimize RAG solutions, document-processing workflows, and enterprise knowledge-retrieval systems.
• Develop AI agents that interact with business systems, APIs, and enterprise platforms.
• Integrate AI solutions with client systems, business applications, and external services.
• Implement agent memory, context management, and orchestration mechanisms.
• Evaluate and improve the quality, reliability, and performance of AI applications.
• Support the deployment of AI solutions and collaborate with Systems Engineers on production implementation.
• Contribute to proof-of-concept projects, rapid prototyping, and knowledge-sharing initiatives.

Skills

Python

Generative AI

LLMs

RAG

AI Agents

REST APIs

Docker

Azure

Testing & Version Control

English Communication

Education

Bachelor's degree in Computer Science / IT

Tools

LangGraph

OpenAI Agents SDK

PydanticAI

LlamaIndex

CrewAI

Google ADK

Microsoft Agent Framework

Job description

Job Expectations:

• Position Type: Experienced - Mid/Senior
• Employment Type: Full-Time, Permanent (Direct Hire)
• Work Setup & Location: Flexible Hybrid (2-3x onsite per week) - BGC, Taguig
• Work Schedule: Weekdays; Mid Shift
• Industry: Global Accounting Firm

About the Job:

We are looking for an AI Engineer to join our client's team and develop AI-powered applications using Generative AI, Large Language Models (LLMs), and AI Agent technologies. In this role, you will design and build solutions involving Retrieval Augmented Generation (RAG), enterprise knowledge retrieval, document processing, and AI agents that integrate with business systems and applications. You will also work with cross-functional teams to evaluate, optimize, and deploy AI solutions while staying up to date with emerging AI technologies and development practices.

Key Responsibilities:

• Design and develop AI-powered applications using Python, Generative AI, and Large Language Models (LLMs).
• Build and optimize RAG solutions, document-processing workflows, and enterprise knowledge-retrieval systems.
• Develop AI agents that interact with business systems, APIs, and enterprise platforms.
• Integrate AI solutions with client systems, business applications, and external services.
• Implement agent memory, context management, and orchestration mechanisms.
• Evaluate and improve the quality, reliability, and performance of AI applications.
• Support the deployment of AI solutions and collaborate with Systems Engineers on production implementation.
• Contribute to proof-of-concept projects, rapid prototyping, and knowledge-sharing initiatives.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 4 years of relevant experience in software development, AI engineering, or related roles.
• Proficiency in Python programming and software development best practices, including testing and version control.
• Strong knowledge of Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agent architectures.
• Hands‑on experience with AI and agent frameworks such as LangGraph, OpenAI Agents SDK, PydanticAI, LlamaIndex, CrewAI, Google ADK, or Microsoft Agent Framework.
• Experience integrating applications with REST APIs, external services, and enterprise systems, including familiarity with MCP (Model Context Protocol).
• Knowledge of vector databases, structured and unstructured data, hybrid search, and enterprise knowledge retrieval.
• Experience with Docker and cloud environments, preferably Azure AI Foundry, Azure OpenAI Service, or Azure AI Search.
• Strong analytical and problem‑solving skills, with excellent written and verbal English communication skills.

Only shortlisted candidates will be contacted. Updating or tailoring your CV is highly recommended.