Forward-Deployed AI Agent Engineer - Data, RAG & Reporting

iQor; Muntinlupa; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

iQor is seeking an experienced AI/ML engineer in Metro Manila to design, build, and deploy enterprise-grade AI agents using code-first frameworks. You will focus on architecture, tool integration, grounding, and secure identity patterns to deliver production-ready agents with traceable grounding and human-in-the-loop controls.

You will work with Semantic Kernel, LangGraph, LangChain, and Autogen, building end-to-end RAG pipelines, integrating with SharePoint/Dataverse, and deploying via Teams

Qualifications

• 5+ years of professional AI/agent development experience.
• Proven delivery of at least two production AI/agent apps.
• Strong Python and/or C#/.NET with clean API design.
• Hands-on with an agent framework (Semantic Kernel, LangGraph, LangChain, Autogen).
• Deep prompt engineering: system prompts, few-shot patterns and structured outputs.
• Experience with RAG end-to-end and vector stores.
• Experience in tool/function calling design and error handling.
• Enterprise identity and API integration know-how (Entra ID, OAuth 2.0).

Responsibilities

• Design agent architectures for single-agent, multi-agent and orchestrator/worker patterns.
• Build agents on Microsoft Copilot Studio and code-first frameworks (Semantic Kernel, LangGraph, LangChain, Autogen or equivalent).
• Engineer instructions, system prompts and reasoning flows; implement deterministic guardrails around non-deterministic model behavior.
• Define and implement tool/function calling - API actions, connectors, custom plugins - with robust error handling and fallback paths.
• Implement human-in-the-loop checkpoints, approval flows and escalation-to-human paths where decisions carry business or regulatory risk.
• Build agent memory and state management - conversation context, session state and long-term knowledge persistence.
• Build RAG pipelines: chunking strategy, embedding selection, vector indexing, hybrid and semantic retrieval, re-ranking.
• Connect agents to enterprise knowledge sources - SharePoint, Dataverse, Graph connectors, relational stores and document repositories.
• Tune retrieval quality and diagnose grounding failures, hallucination and citation accuracy issues.
• Implement source attribution so every agent answer is traceable to its grounding evidence.

Skills

Python

C#/.NET

API design

LLM frameworks

Prompt engineering

Agent orchestration

RAG pipelines

Vector stores

Grounding attribution

Tools

Semantic Kernel

LangGraph

LangChain

Autogen

Azure AI Search

Chroma

pgvector

Job description

iQor is seeking an experienced AI/ML engineer in Metro Manila to design, build, and deploy enterprise-grade AI agents using code-first frameworks. You will focus on architecture, tool integration, grounding, and secure identity patterns to deliver production-ready agents with traceable grounding and human-in-the-loop controls.

You will work with Semantic Kernel, LangGraph, LangChain, and Autogen, building end-to-end RAG pipelines, integrating with SharePoint/Dataverse, and deploying via Teams