AI Agent Architect / Senior AI Agent Developer

Job Description & Requirements

As the AI Agent Architect / Senior Developer, you will be the core brain behind our flagship enterprise AI platforms. You will transition our systems from basic LLM wrappers into autonomous, reasoning-capable AI ecosystems.

Your primary mission is to design and develop advanced Agentic workflows, build robust Knowledge Bases utilizing Graph RAG, and engineer complex multi-model data processing pipelines. You will ensure our AI solutions deliver expert-level accuracy, deep contextual understanding, and enterprise-grade security.

Key Responsibilities

Advanced RAG & Knowledge Base Engineering: Design and implement next-generation RAG systems using Knowledge Graphs (Graph RAG), vector databases, and semantic search. Develop robust OCR pipelines for parsing complex, unstructured documents (e.g., contracts, compliance manuals) and multi-modal data extraction.

AI Agent Architecture: Architect and deploy multi-agent systems (using frameworks like Lang Chain, LlamaIndex, or Auto Gen) where distinct AI agents can plan,reason, execute tools, and collaborate to solve complex enterprise tasks.

LLM Integration & Optimization: Evaluate, fine-tune, and deploy various Large Language Models (both closed-source like OpenAI/Anthropic and open-source models). Optimize prompts and reasoning chains to maximize accuracy and minimize latency.

Backend& Enterprise Integration: Build scalable backend services (primarily inPython, with Java/Spring Boot for legacy or enterprise integrations) to exposeAI capabilities via robust APIs.

Guardrails& Hallucination Mitigation: Implement strict logical guardrails, continuousevaluation frameworks, and "anti-hallucination" mechanisms to ensureall AI outputs are verifiable, strictly grounded in the proprietary knowledgebase, and compliant with enterprise security standards.

Performany ad-hoc duties assignedby the Company as required.

RequiredQualifications

Experience:3-5+ years in software engineering, with at least 1.5 - 2 years heavily focused on LLM applications, generative AI, or complex NLP systems.

AI& Agent Frameworks: Deep hands-on experience with LangChain, LlamaIndex, orsimilar multi-agent orchestration frameworks.

DataParsing & Knowledge Representation: Proven expertise in OCR technologies(e.g., unstructured.io, PaddleOCR) for complex PDF parsing, and strongexperience with Vector Databases (e.g., Milvus, Qdrant, Pinecone) and GraphDatabases (e.g., Neo4j).

ProgrammingMastery: Expert-level proficiency in Python (the primary language for the AIstack). Familiarity with Java/Spring Boot is highly preferred to ensureseamless integration with our existing backend ecosystem.

LanguageProficiency: Professional fluency in English and Mandarin is mandatory toeffectively collaborate with our diverse technical stakeholders and regionalenterprise clients.

ProblemSolving: Strong architectural vision with the ability to translate complexbusiness compliance and expert knowledge into structured AI engineeringpipelines.

The"Alpha" Edge (Preferred & Bonus Qualifications)

DomainContext: Previous experience building AI products for Legal, HR, Compliance, orenterprise SaaS。

ModelDeployment: Experience with local LLM deployment and inference optimization(e.g., Ollama, vLLM, TensorRT-LLM).

MLOps:Familiarity with deploying AI pipelines on cloud infrastructure (AWS/GCP) usingDocker and Kubernetes.

Pay: $7,000.00 - $11,000.00 per month

Work Location: In person