Senior AI Engineer: Agentic Workflows & LLM Integration

Visa Hunt

Philippines

On-site

PHP 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Himalayas is seeking a Senior AI Engineer to lead the design and deployment of autonomous agent systems. You will build robust backends, orchestrate tool-calling logic, and manage retrieval architectures to deliver production-grade AI applications within an enterprise setting.

The role requires expertise in C# and/or Python, hands-on LLM experience, and a strong focus on security, governance, and observability in cloud environments such as Azure.

Qualifications

  • 4+ years in backend or service-based architectures using C# and/or Python.
  • At least 1 year of production experience with LLMs or agentic AI systems.
  • Strong debugging across distributed APIs and asynchronous data flows.

Responsibilities

  • Design and test multi-step agent workflows using recognised patterns.
  • Integrate LLMs (Anthropic Claude / OpenAI) with enterprise APIs.
  • Implement tool calling, orchestration pipelines, and failure resilience.
  • Develop human-in-the-loop validation and escalation mechanisms.
  • Build memory and retrieval architectures using vector databases and RAG.
  • Manage prompt logic, semantic routing, and documentation.
  • Deploy AI services in production with monitoring and observability.
  • Ensure security, governance, and compliance in deployments.
  • Collaborate with QA and operations to improve tests and runbooks.

Skills

C# / Python
LLM experience
Analytical reasoning

Tools

Azure AI Foundry
LangGraph
LangChain
Pinecone
Azure Cosmos DB
SQL Server
RESTful APIs

Job description

Himalayas is seeking a Senior AI Engineer to lead the design and deployment of autonomous agent systems. You will build robust backends, orchestrate tool-calling logic, and manage retrieval architectures to deliver production-grade AI applications within an enterprise setting.

The role requires expertise in C# and/or Python, hands-on LLM experience, and a strong focus on security, governance, and observability in cloud environments such as Azure.

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