Agentic AI Developer

Intro Recruitment Asia; Philippines; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Intro Recruitment Asia seeks an experienced backend engineer to design and deliver AI-enabled components and agent workflows for enterprise-scale systems. You will build multi-step workflows, integrate LLMs, and ensure reliability and security across production services.

The role requires strong coding in Python and/or C#, hands-on AI model experience, and tooling like LangChain, vector databases, and observability.

Qualifications

• Minimum 4 years’ experience developing backend or service-based systems.
• At least 1 year of hands-on experience with large language models, prompt engineering, or AI-enabled systems.
• Strong analytical and debugging skills across APIs, data flows, and AI system behavior.

Responsibilities

• Design and deliver AI-enabled application components and agent workflows.
• Ensure reliability, performance, and operational supportability of deployed solutions.
• Integrate LLMs with enterprise APIs and internal systems, including robust handling of retries and edge cases.
• Implement tool calling, function orchestration, and compensating actions for workflow stability.
• Deploy AI services to production and monitor logs, traces, and metrics for issue resolution.

Skills

Python

C#

Backend dev

LLM integration

Observability

Docker

Tools

Azure

Azure Container Services

SQL Server

Pinecone

LangChain

LangGraph

Job description

• Design and delivery of AI‑enabled application components and agent workflows
• Reliability, performance, and operational supportability of deployed solutions
• Adherence to enterprise engineering standards, security controls, and data governance requirements
• Design, build, and test multi‑step agent workflows using established patterns such as ReAct, planner‑executor, and tool‑chaining
• Integrate LLMs (i.e. Claude and OpenAI) with enterprise APIs and internal systems, including robust handling of retries, edge cases, and degraded states
• Implement tool calling, function orchestration, and compensating actions to ensure workflows remain stable under failure conditions
• Design and implement human‑in‑the‑loop controls, including approvals, escalations, and exception handling where required by business logic or risk considerations
• Collaborate with product managers, domain experts, and technical stakeholders to refine requirements and translate them into technical designs
• Develop, maintain, and version prompt logic and supporting documentation in line with agreed standards
• Build and manage agent memory and retrieval mechanisms using vector databases and retrieval‑augmented generation (RAG), ensuring context remains relevant and high‑signal
• Deploy AI services to production environments and actively monitor logs, traces, and metrics to detect and resolve issues
• Contribute to test coverage, operational runbooks, and incident response practices in collaboration with QA and operations teams
• Support continuous improvement of system reliability, performance, and maintainability

Qualifications

Knowledge, Skills & Experience

• Minimum 4 years’ 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, prompt engineering, or AI‑enabled systems
• Strong analytical and debugging skills with the ability to reason across APIs, data flows, and AI system behavior
• Ability to clearly communicate technical decisions and trade‑offs to technical and non‑technical stakeholders
• Demonstrated ability to learn and adapt in a rapidly evolving technology environment

Technical Skills (Required)

• Programming: C#, Python (production services, async workflows, automated testing)
• LLM Integration: Claude and/or OpenAI APIs (prompting, tool calling, rate limits, error handling)
• Agent Orchestration: Azure AI Foundry, Microsoft Agent Framework; optional alternatives include LangGraph and LangChain.
• Vector Databases: Pinecone or equivalent (indexing, retrieval, relevance tuning)
• Observability: Application logging, metrics, and tracing in production environments
• Docker and Azure Container Services
• SQL Server or other relational databases
• Experience in regulated or compliance driven environments