Artificial Intelligence Engineer
Private Company · Baltimore, Maryland, United States
FULL TIMEpermanent
Job Description
GREEN CARD AND US CITIZENS ONLY
All potential candidates should read through the following details of this job with care before making an application.
AI Agent Engineer | Baltimore, MD (Hybrid - 2 Days Onsite)
Our client is a leading investment management firm and they are looking to hire an AI Agent Engineer who will help build and scale next-generation autonomous AI solutions across the enterprise. This is an opportunity to work at the forefront of Agentic AI, LLMs, AI orchestration, and intelligent automation, partnering directly with investment, technology, and innovation teams to design and deploy production-grade AI systems that drive real business impact.
Location: Baltimore, MD Hybrid: 2 days per week onsite
Responsibilities:Design, develop, test, and deploy AI agents and autonomous systems in modern cloud environmentsBuild agent-driven workflows that automate complex business processes and generate actionable insightsDevelop solutions leveraging LLMs, prompt engineering, orchestration frameworks, and real-time dataCollaborate closely with business and technology stakeholders to identify high-value AI use casesDrive engineering best practices across testing, deployment, code quality, and continuous integrationHelp evolve AI platforms, infrastructure, and automation capabilities across the organizationResearch and implement emerging technologies to enhance operational efficiency and business outcomesRequirements: 5+ years of software engineering experience using Python, Java, JavaScript, or similar object-oriented languages Hands-on experience building and deploying LLM-powered applications or agent-based AI systems in production environments Strong experience with:AWS and/or AzureCloud-native architecturesContainerized microservicesAI/Agent frameworks Excellent problem-solving and analytical skills Passion for emerging AI technologies and innovationPreferred Retrieval-Augmented Generation (RAG) Vector databases MCP Servers Agent orchestration xzbcwsv frameworks Prompt engineering, evaluation, and model benchmarking Amazon Bedrock AgentCore AWS Kiro OpenAI Codex Experience within asset management, investment management, financial services, or capital markets environments Understanding of financial markets, investment products, and financial dataWhy This Opportunity?Work on cutting-edge Agentic AI initiativesCollaborate with highly visible business and technology teamsBuild enterprise-scale AI solutions that drive measurable outcomesJoin a team investing heavily in AI innovation and automationOpportunity to shape the future of AI adoption within a sophisticated financial organization
All potential candidates should read through the following details of this job with care before making an application.
AI Agent Engineer | Baltimore, MD (Hybrid - 2 Days Onsite)
Our client is a leading investment management firm and they are looking to hire an AI Agent Engineer who will help build and scale next-generation autonomous AI solutions across the enterprise. This is an opportunity to work at the forefront of Agentic AI, LLMs, AI orchestration, and intelligent automation, partnering directly with investment, technology, and innovation teams to design and deploy production-grade AI systems that drive real business impact.
Location: Baltimore, MD Hybrid: 2 days per week onsite
Responsibilities:Design, develop, test, and deploy AI agents and autonomous systems in modern cloud environmentsBuild agent-driven workflows that automate complex business processes and generate actionable insightsDevelop solutions leveraging LLMs, prompt engineering, orchestration frameworks, and real-time dataCollaborate closely with business and technology stakeholders to identify high-value AI use casesDrive engineering best practices across testing, deployment, code quality, and continuous integrationHelp evolve AI platforms, infrastructure, and automation capabilities across the organizationResearch and implement emerging technologies to enhance operational efficiency and business outcomesRequirements: 5+ years of software engineering experience using Python, Java, JavaScript, or similar object-oriented languages Hands-on experience building and deploying LLM-powered applications or agent-based AI systems in production environments Strong experience with:AWS and/or AzureCloud-native architecturesContainerized microservicesAI/Agent frameworks Excellent problem-solving and analytical skills Passion for emerging AI technologies and innovationPreferred Retrieval-Augmented Generation (RAG) Vector databases MCP Servers Agent orchestration xzbcwsv frameworks Prompt engineering, evaluation, and model benchmarking Amazon Bedrock AgentCore AWS Kiro OpenAI Codex Experience within asset management, investment management, financial services, or capital markets environments Understanding of financial markets, investment products, and financial dataWhy This Opportunity?Work on cutting-edge Agentic AI initiativesCollaborate with highly visible business and technology teamsBuild enterprise-scale AI solutions that drive measurable outcomesJoin a team investing heavily in AI innovation and automationOpportunity to shape the future of AI adoption within a sophisticated financial organization
Details
| Company | Private Company |
| Location | Baltimore, Maryland, United States |
| Type | FULL TIME |
| Niche | marketing |
| Experience | permanent |