Forward Deployed AI Engineer

Location: New York, NY

Rate range: $70–$75 per hour

Company

hirify.global provides technical delivery and engineering services for enterprise technology initiatives.

What you will do

• Embed with fixed-income banking teams to understand workflows, pain points, data availability, and AI opportunities.
• Translate business requirements from traders, sales, research, operations, risk, compliance, and technology stakeholders into AI-enabled solutions.
• Design, prototype, and build generative AI applications using Python, OpenAI or Claude Agent SDK, agentic frameworks, prompt engineering, MCP integrations, orchestration, retrieval-augmented generation, and agentic workflows.
• Develop solutions for knowledge retrieval, workflow automation, document analysis, trade support, client intelligence, operational exception handling, and management reporting.
• Build retrieval pipelines across structured and unstructured enterprise data, including research, policies, trade data, market commentary, client documents, and internal repositories.
• Support adoption by gathering user feedback, refining workflows, explaining technical trade-offs, and identifying reusable components for other financial-services use cases.

Requirements

• Bachelor’s degree in computer science, engineering, mathematics, finance, or a related field, or equivalent practical experience.
• Strong hands-on experience with Python and modern software engineering practices.
• Practical experience building applications with OpenAI or Claude Agent SDK and comparable agentic frameworks or LLM APIs.
• Strong understanding of prompt design, prompt testing, grounding, context management, and output validation.
• Experience building AI or data-driven applications using APIs, databases, cloud services, and enterprise data sources.
• Ability to lead discovery discussions, clarify ambiguous requirements, communicate AI risks and design choices, and evolve prototypes into production-ready solutions.

Nice to have

• Financial-services experience in capital markets, fixed income, trading, sales, risk, operations, or banking technology.
• Knowledge of rates, credit, securitised products, municipals, FX, or derivatives.
• Experience with vector databases, embeddings, semantic search, document intelligence, and AI evaluation frameworks.
• Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, regulatory expectations, secure APIs, authentication, and enterprise integrations.
• Experience in forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery roles.

Culture & Benefits

• Contract engagement supporting enterprise financial-services technology initiatives.
• Work directly with business and technology stakeholders in a fast-moving environment.
• Focus on secure, explainable, auditable, and production-ready AI solutions.