Forward Deployed Engineer

Responsibilities

• Lead end-to-end deployment of AI products within enterprise client environments.
• Build production-ready software using Python, TypeScript, and React.
• Design APIs and backend integrations connecting multiple enterprise systems.
• Customize AI-powered workflows to fit each client's operational processes.
• Develop intuitive user interfaces used daily by business stakeholders.
• Build and improve production LLM applications, including agent workflows, RAG systems, evaluation pipelines, and human-in-the-loop processes.
• Make architectural decisions balancing existing AI frameworks with custom engineering solutions.
• Collaborate directly with portfolio managers, analysts, traders, operations teams, compliance, and engineering leadership.
• Manage deployment milestones from discovery through production rollout.
• Own deployment success metrics, including production reliability, user adoption, client satisfaction, and business impact.

Requirements

• 5+ years of professional software engineering experience building production systems.
• Strong proficiency with Python, TypeScript, and React.
• Experience designing APIs and integrating enterprise applications.
• Strong understanding of software engineering best practices, including testing, version control, code reviews, documentation, and release management.
• Hands-on experience building and deploying AI-powered applications using Large Language Models.
• Experience with Retrieval-Augmented Generation (RAG), agent orchestration, prompt evaluation, and human-in-the-loop AI workflows.
• Understanding of production AI architecture, including chunking strategies, reranking, grounding, evaluation, and orchestration.
• Experience leading customer-facing technical implementations from kickoff through production.
• Ability to manage technical and non-technical stakeholders across multiple business functions.
• Past ownership of complex software deployments with measurable business outcomes.
• Comfortable working independently while making high-impact technical decisions.
• Strong communication and stakeholder management skills.
• Excellent problem-solving abilities.
• High ownership mentality.
• Comfortable working directly with enterprise clients.
• Passion for building practical AI solutions that reach production.

Nice to Have

• Previous experience as a Forward Deployed Engineer, Solutions Engineer, Deployment Engineer, or similar client-facing engineering role.
• Experience within financial services, hedge funds, investment management, fintech, or banking.
• Experience working in highly regulated environments.
• Personal AI projects, open-source contributions, or experimentation with modern AI tooling.
• Experience deploying enterprise AI solutions into production.