Agentic AI Application Engineer （27graduates）

Job Summary

We are seeking a highly skilled Agentic AI Application Engineer to design, develop, and deploy next-generation AI-driven applications based on autonomous agent architectures. This role focuses on leveraging cutting-edge technologies such as prompt engineering, LangChain, vector databases, and advanced Python-based backend systems to build intelligent, scalable, and production-ready AI applications.

Key Responsibilities

• Design and develop agentic AI applications capable of autonomous reasoning, planning, and execution.
• Build and orchestrate multi-agent workflows using frameworks such as LangChain (or similar).
• Develop and optimize prompt engineering strategies to enhance LLM performance and reliability.
• Integrate vector databases (e.g., Pinecone, FAISS, Milvus) for semantic search and retrieval-augmented generation (RAG).
• Implement efficient database querying logic (SQL/NoSQL) to support AI workflows and data-driven decision-making.
• Develop backend services and pipelines using Python, ensuring scalability, performance, and maintainability.
• Design and implement APIs and microservices to support AI application integration.
• Collaborate with data engineers, ML engineers, and product teams to deliver end-to-end AI solutions.
• Ensure best practices in model governance, observability, and security for enterprise-grade AI systems.
• Continuously evaluate and adopt emerging technologies in the AI/LLM ecosystem.

Required Skills & Qualifications

• Strong proficiency in Python programming and backend development.
• Hands-on experience with prompt engineering and large language models (LLMs).
• Experience with frameworks such as LangChain or equivalent agent orchestration tools.
• Solid understanding of vector embeddings and experience with vector databases.
• Strong experience in database technologies (SQL/NoSQL) and efficient query design.
• Experience building AI-powered applications (chatbots, copilots, agents, etc.).
• Familiarity with API development and integration (REST/GraphQL).
• Understanding of distributed systems and scalable architecture design.

Preferred Qualifications

• Experience with advanced agent frameworks (e.g., AutoGPT, CrewAI, Semantic Kernel).
• Knowledge of RAG architectures and hybrid search systems.
• Experience with cloud platforms (Azure/AWS) and containerization (Docker/K8s).
• Familiarity with ML Ops / AI Ops practices.
• Exposure to enterprise data governance and security requirements.

Key Competencies

• Strong problem-solving and system design skills.
• Ability to bridge AI technology and business applications.
• Excellent communication and cross-team collaboration skills.
• Proactive mindset in exploring innovative AI solutions.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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