Artificial Intelligence Engineer

Private Company, LLP; Baltimore (MD); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Private Company, LLP in Baltimore is seeking an AI Agent Engineer to design, build and scale autonomous AI solutions across the enterprise, focusing on Agentic AI, LLMs, orchestration, and intelligent automation. You will work hybrid, collaborating with investment, technology and innovation teams to deploy production-grade AI systems that drive measurable business impact.

This role emphasizes cloud-native design, CI/CD discipline and partnership with business stakeholders to shape AI adoption in

Qualifications

• Hands-on experience building AI agents or LLM-powered apps in production.
• Experience with cloud-native architectures and containerized microservices.
• Familiar with AI/Agent frameworks and orchestration.

Responsibilities

• Design, develop, test, and deploy AI agents and autonomous systems in modern cloud environments.
• Build agent-driven workflows that automate complex business processes and generate actionable insights.
• Develop solutions leveraging LLMs, prompt engineering, orchestration frameworks, and real-time data.
• Collaborate closely with business and technology stakeholders to identify high-value AI use cases.
• Drive engineering best practices across testing, deployment, code quality, and CI.
• Help evolve AI platforms, infrastructure, and automation capabilities across the organization.
• Research and implement emerging technologies to enhance operational efficiency and business outcomes.

Skills

LLM-powered applications

Agent-based AI systems

Cloud-native architectures

Containerized microservices

AI/Agent frameworks

Job description

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.

Hybrid: 2 days per week onsite

Responsibilities

• Design, develop, test, and deploy AI agents and autonomous systems in modern cloud environments
• Build agent-driven workflows that automate complex business processes and generate actionable insights
• Develop solutions leveraging LLMs, prompt engineering, orchestration frameworks, and real-time data
• Collaborate closely with business and technology stakeholders to identify high-value AI use cases
• Drive engineering best practices across testing, deployment, code quality, and continuous integration
• Help evolve AI platforms, infrastructure, and automation capabilities across the organization
• Research and implement emerging technologies to enhance operational efficiency and business outcomes

Requirements

Hands-on experience building and deploying LLM-powered applications or agent-based AI systems in production environments

Strong experience with:

• Cloud-native architectures
• Containerized microservices
• AI/Agent frameworks

Excellent problem-solving and analytical skills

Passion for emerging AI technologies and innovation

Preferred

• Prompt engineering, evaluation, and model benchmarking
• Experience within asset management, investment management, financial services, or capital markets environments
• Understanding of financial markets, investment products, and financial data

Why This Opportunity?

• Work on cutting-edge Agentic AI initiatives
• Collaborate with highly visible business and technology teams
• Build enterprise-scale AI solutions that drive measurable outcomes
• Join a team investing heavily in AI innovation and automation
• Opportunity to shape the future of AI adoption within a sophisticated financial organization