TL;DR

Forward Deployed Engineer (AI): Building and optimizing AI-powered work solutions for strategic enterprise clients, focusing on end-to-end platform deployment, custom system integration, and navigating complex security and compliance environments. Focus on designing, implementing, and maintaining LLM-based applications, ensuring seamless integration, and influencing product direction with real-world deployment feedback.

Location: NYC - This role requires being onsite at the client's office 4-5 days per week.

Salary: $195,900–$272,000

Company

%hirify_global% is a product company developing an end-to-end platform for enterprise generative AI, valued at $1.9B and backed by industry-leading investors.

What you will do

Serve as %hirify_global%'s embedded technical AI specialist onsite, building strong daily relationships with client engineering, AI COE, and business teams.
Own the end-to-end release workflow from %hirify_global% platform updates through production deployment across all client environments.
Design, implement, and maintain the client's custom front-end setup, production retrieval, and agentic systems, while rigorously testing AI-specific features.
Navigate client security, risk, and compliance approval processes, working with Information Security teams to obtain necessary approvals.
Reduce operational pain points, contribute to long-term migration strategies for clients, and gather real-world deployment feedback to strategically influence %hirify_global%'s product direction.

Requirements

7+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML development and 2+ years in highly regulated, customer-facing roles at enterprise scale.
Expert-level proficiency in Python and modern JavaScript (ES6+), production software development, systems design, and modern front-end frameworks (React, Vue.js, Angular).
Extensive hands-on experience deploying and optimizing LLM-based applications and agentic systems in production environments, with deep knowledge of RAG implementation, CI/CD practices for AI, and evaluating AI model performance.
Proven track record of managing complex multi-environment release pipelines and expertly navigating enterprise approval workflows and governance in Fortune 500 or large financial services clients.
Demonstrated ability to connect effectively with diverse client stakeholders through onsite embedding, challenge existing technical paradigms, and own problem-solving from discovery to production impact, exhibiting strong analytical, communication, and presentation skills.

Culture & Benefits

Generous PTO, plus company holidays.
Medical, dental, and vision coverage for you and your family.
Paid parental leave for all parents (12 weeks) and fertility and family planning support.
Flexible spending account and dependent FSA options, plus a health savings account with company contribution.
Annual work-life stipends for wellness and learning and development.
Company-wide off-sites and team off-sites.
Competitive compensation, company stock options and 401k.