Senior AI Engineer – Agentic Systems
Senior AI Engineer at Xurpas who designs, builds, and deploys production-grade autonomous AI agents and multi-agent systems using LLMs (LangChain, CrewAI, AutoGen, LangGraph), Python, RAG, and vector databases, integrating with enterprise APIs and cloud platforms while applying Responsible AI and LLMOps practices.
- Compensation
- Not disclosed
- Location
- Taguig City, Metro Manila
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5 to 7 years of professional experience
- Strong expertise in Agentic AI frameworks (LangChain, CrewAI, AutoGen, LangGraph)
- Advanced Python development skills
- Exceptional verbal and written communication skills
- Experience with foundational models (OpenAI, Anthropic, open-source) for reasoning, function calling, and tool usage
- Solid foundation in backend engineering, API integration, and structured/unstructured data
- Experience with vector databases (Pinecone, Chroma, Milvus) and RAG pipeline optimization
- Familiarity with enterprise cloud platforms (AWS, Azure, or GCP) and AI orchestration deployment
- Knowledge of MLOps/LLMOps practices for monitoring drift, latency, and costs
Full description
About the role
We are seeking a highly skilled Senior AI Engineer with 5 to 7 years of professional experience to design, develop, and deploy autonomous AI agents and multi-agent systems. In this role, you will build intelligent workflows that reason, plan, execute complex tasks, and seamlessly interact with enterprise applications. You will leverage Large Language Models (LLMs), cutting-edge agent orchestration frameworks, and cloud AI platforms to automate business processes and drive operational efficiency.
Key responsibilities
- Design and develop production-grade Agentic AI solutions utilizing advanced LLMs and agent frameworks
- Build autonomous agents capable of reasoning, planning, tool execution, and multi-step workflows, as well as complex multi-agent orchestrated systems
- Integrate AI agents with enterprise systems, APIs, internal databases, and modern cloud services to power business automation
- Implement robust memory systems, dynamic context management, RAG (Retrieval-Augmented Generation), and knowledge-grounding capabilities
- Apply Responsible AI principles, rigorous governance, data security, and compliance controls throughout the entire solution lifecycle
- Conduct ongoing testing, evaluation, monitoring, and performance optimization of AI agents in live production environments
- Partner directly with business stakeholders to identify high-impact Agentic AI use cases and translate them into functional requirements
- Author detailed technical documentation, build reusable frameworks, and establish engineering best practices for the AI development team
About you
- 5 to 7 years of professional experience
- Strong technical expertise in Agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen, or LangGraph) paired with advanced Python development skills
- Exceptional verbal and written communication skills to articulate complex AI concepts to both technical teammates and business stakeholders
- Proven experience working with foundational models (OpenAI, Anthropic, open-source models) for reasoning, function calling, and tool usage
- Solid foundation in backend engineering, API integration, and handling structured/unstructured data
- Experience with vector databases (e.g., Pinecone, Chroma, Milvus) and optimization of RAG pipelines
- Familiarity with enterprise cloud platforms (AWS, Azure, or GCP) and AI orchestration deployment
- Knowledge of MLOps / LLMOps practices for monitoring drift, latency, and costs of agentic workflows