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Forward Deployed Engineer

MFA Talent Services
Full-time
On-site
New York, New York, United States
$150 - $200 USD yearly

Title: Forward Deployed Engineer

Location: New York City, NY (Hybrid)

Salary: $150k - $200k + Equity


 

About the client 

My client is a rapidly growing tech company developing AI-driven solutions that transform how businesses communicate with their customers. Their platform powers more natural, efficient interactions across various channels. Backed by top-tier investors and used by well-known brands, they are focused on innovation and scaling their team for continued growth.



About the role 
They are seeking a Forward Deployed Engineer (FDE) to join their high-impact field engineering team. This is a hands-on, customer-facing role focused on deploying and customizing complex AI-driven platforms for enterprise clients.

You’ll work closely with both internal teams and client engineering groups to bring sophisticated solutions to life—integrating systems, building custom extensions, and solving real-world challenges in fast-moving environments. This role offers high autonomy and the opportunity to make a direct impact on customer success.

Ideal candidates thrive at the intersection of software engineering and client service, enjoy working through ambiguity, and are energized by owning technical solutions end-to-end.


Skills & Experience 

  • 4+ years of experience as a software engineer, implementation engineer, or systems integration specialist in a customer-facing role (open to 2+ years for exceptional candidates)

  • Proven track record delivering technical solutions for large, complex enterprise clients

  • Comfortable working in fast-paced, ambiguous environments with evolving requirements

  • Degree in Computer Science, Engineering, or a related technical field

  • Proficiency in Python or TypeScript, with hands-on experience in containerized environments (e.g., Kubernetes) and cloud platforms (preferably Azure)

  • Strong understanding of APIs, databases, CI/CD workflows, and observability tools

  • Experience building or deploying AI-based solutions, particularly using large language models (LLMs)

  • High level of ownership, with a customer-centric mindset and a bias for action