Gen AI Systems Engineer - Investment Research

Goldman Sachs; Dallas (TX); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Goldman Sachs is seeking an Agentic Systems Engineer in Dallas to build end-to-end AI-enabled research tools and productionize agentic pipelines. You will collaborate with senior engineers to develop full-stack applications, implement RAG components, and integrate AI services into GIR platforms.

The role emphasizes developing stateful multi-agent workflows, deploying on AWS, and contributing to SDLC with tests and CI/CD. 3–5 years of software engineering with Java or Python is expected.

Competenze

• Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
• 3-5 years of hands-on software engineering experience with proficiency in Java or Python, combined with modern full-stack web technologies (e.g., React, TypeScript, FastAPI, Spring Boot).
• Practical experience building Gen AI applications using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
• Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, equivalent technologies, or custom benchmark harnesses.
• Working knowledge of core AWS services, including Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, and API Gateway.
• Solid understanding of standard SDLC tooling, automated testing, Git, Docker, and CI/CD automation.

Mansioni

• Feature Engineering: Build and maintain end-to-end full-stack features, integrating analyst-facing frontends with backend APIs and microservices implemented in Java or Python.
• Gen AI & Agent Implementation: Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human-in-the-loop steps.
• Evaluation & Benchmarking: Implement automated offline and online evaluation suites using tools such as Braintrust, AgentCore Eval, equivalent industry solutions, or custom test harnesses to assess contextual relevance, groundedness, and hallucination reduction.
• Cloud & Data Integration: Deploy and connect AI components with enterprise services on AWS, configuring Lambda, ECS/Fargate, EventBridge, S3, IAM policies, and API Gateway endpoints.
• Observability & Incident Support: Monitor model and service performance using CloudWatch and distributed tracing; triage production incidents, conduct root-cause analyses, and optimize token/resource consumption.
• SDLC Discipline: Actively participate in peer code reviews, write automated unit and integration tests, maintain CI/CD pipelines, and document integration patterns and data models.
• Agile Collaboration: Coordinate with business stakeholders and cross-functional teams in Agile sprints to translate research requirements into deliverable technical stories.

Conoscenze

Java

Python

React

TypeScript

FastAPI

Spring Boot

Gen AI

LangGraph

AWS Bedrock

Lambda

ECS/Fargate

S3

EventBridge

CloudWatch

API Gateway

Docker

CI/CD

Formazione

Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or related quantitative field

Strumenti

Google ADK

LangGraph

AWS Bedrock

Braintrust

AgentCore Eval

Descrizione del lavoro

Goldman Sachs is seeking an Agentic Systems Engineer in Dallas to build end-to-end AI-enabled research tools and productionize agentic pipelines. You will collaborate with senior engineers to develop full-stack applications, implement RAG components, and integrate AI services into GIR platforms.

The role emphasizes developing stateful multi-agent workflows, deploying on AWS, and contributing to SDLC with tests and CI/CD. 3–5 years of software engineering with Java or Python is expected.