Senior AI Software Engineer (AI)

Location: Baltimore, Maryland, or New York City; hybrid work with up to three days per week from home

Base salary: $121,000–$206,000 for Maryland, Colorado, Washington, and remote workers; $133,000–$227,000 for Washington, D.C.; $151,000–$258,000 for New York and California.

Company

hirify.global is a global asset management organization providing equity, fixed income, multi-asset, and investment solutions to individuals, advisors, institutions, and retirement plan sponsors.

What you will do

• Design, build, test, evaluate, deploy, monitor, and support production-grade AI agents and intelligent systems.
• Develop agentic workflows using orchestration, tool integration, retrieval-based systems, structured outputs, context management, and human-in-the-loop patterns.
• Partner with product owners and business stakeholders to translate complex needs into scalable AI solutions and measurable outcomes.
• Lead technical workstreams from experimentation and validation through production adoption.
• Establish testing and evaluation approaches for non-deterministic AI systems, including quality metrics, regression testing, failure analysis, and production monitoring.
• Lead reviews, mentor engineers, improve reusable engineering patterns, and prepare successful solutions for long-term ownership by business-aligned technology teams.

Requirements

• BS or MS in Computer Science or a related technical field, or equivalent practical experience, with 5+ years of professional software engineering experience.
• Strong hands-on development experience with object-oriented languages such as Python, Java, or JavaScript/TypeScript.
• Hands-on experience building AI-enabled applications, intelligent workflows, or agentic systems using modern LLMs and AI development frameworks.
• Practical experience with agent orchestration, tool or function calling, retrieval-based systems, prompt and context engineering, structured outputs, evaluation, observability, or guardrails.
• Experience taking AI-enabled systems from prototypes to production, including testing, monitoring, reliability, security, and operational considerations.
• Strong experience with cloud-native architectures, containerized microservices, APIs, and modern software delivery practices.
• Strong analytical, problem-solving, software design, and debugging skills, with demonstrated commitment to automated testing, code reviews, observability, and continuous delivery.
• Ability to independently own complex technical problems and clearly communicate designs, decisions, and trade-offs.
• Product mindset, strong learning agility, and interest in the evolving AI engineering landscape.

Nice to have

• Experience mentoring engineers or leading technical workstreams.
• Understanding of financial markets, asset management, or financial instruments.

Culture & Benefits

• Collaborative work with engineers, product owners, business partners, and technology teams.
• Hybrid work schedule with up to three days per week from home.
• Annual bonus eligibility and a retirement plan.
• Health and wellness benefits, paid time off, volunteering days, and family care resources including fertility and adoption benefits.
• FINRA licenses are not required and will not be supported for this role.

Hiring process

• Complete eligibility questions received by email and text; the estimated time commitment is 3–5 minutes.
• If eligible, record introductory video responses through HireVue; the estimated time commitment is 20–30 minutes, with possible time limits and limited retakes.