Assoc/Snr Assoc, Risk Technology Specialist, Risk Management Group

5-7 Years

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Early Applicant

Job Description

Responsibilities

Collaborate with business stakeholders to gather, analyze, and refine technical and AI-related requirements.
Design, develop, and maintain scalable applications, microservices, and APIs.
Develop and integrate LLM-powered features (e.g., copilots, chatbots, decision-support tools).
Build backend services using Java, Python, Node.js, and modern frameworks (FastAPI, Spring Boot).
Perform prompt engineering, context engineering, and RAG (retrieval-augmented generation).
Build and orchestrate AI agents, Agent Harness and multi-agent workflows.
Apply OOP, OOAD principles, and design patterns to deliver robust systems.
Integrate LLM APIs and manage vector databases and embeddings for semantic search.
Develop AI evaluation, testing harnesses, and guardrails to ensure performance and reliability.
Design and optimize SQL databases and work with ORM tools (Hibernate/JPA).
Contribute to full-stack development, including basic UI/UX using JavaScript/TypeScript.
Manage end-to-end SDLC (Software Development Lifecycle), including development, testing, deployment, and maintenance.
Implement and maintain CI/CD pipelines for both application and AI workloads.
Work in a DevOps environment, supporting automation, monitoring, and scalability.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related field.
5+ years of software development experience.
Strong proficiency in Python; working knowledge of JavaScript, TypeScript, Java, Kotlin.
Hands-on experience with FastAPI, Spring Boot, and backend frameworks.
Experience building RESTful APIs and microservices architectures.
Experience or exposure to LLMs, prompt engineering, or AI application development.
Understanding of RAG, embeddings, vector databases, and semantic search.
Familiarity with AI agent frameworks (LangChain) and Agent Harness concepts.
Knowledge of AI evaluation, guardrails, and hallucination mitigation techniques.
Good understanding of backend architecture, distributed systems, OOP, and design patterns.
Proficiency in SQL, relational databases, and ORM tools (Hibernate, JPA); familiarity with NoSQL (MongoDB) is a plus.
Experience with CI/CD, Git, DevOps practices, and deployment automation.
Strong communication skills and ability to explain complex engineering and AI concepts.