Forward Deployed Engineer

A rapidly growing tech company developing AI-driven solutions that transform how businesses communicate with their customers. The 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. 

📍 Location: New York City, NY (Hybrid) 💰 Salary: Starts at $150k + Equity 🗽 Eligibility: Candidates must be currently based in New York with 2+ years of professional experience in the USA

Qualifications:

• 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

Responsibilities:

• Collaborate directly with enterprise clients to understand their technical needs and business goals.

• Deploy, integrate, and customize AI-driven solutions in complex production environments.

• Design and build custom extensions, APIs, and middleware to bridge client systems with the core platform.

• Serve as the technical point of contact during onboarding, implementation, and post-launch support.

• Translate ambiguous requirements into concrete technical specifications and deliverables.

• Work closely with product, engineering, and sales teams to align technical delivery with client expectations.

• Identify opportunities to improve deployment processes and contribute to internal tooling.

• Troubleshoot and resolve integration issues, ensuring system performance and reliability.

• Provide feedback from field deployments to inform product development and roadmap decisions.

• Travel on-site as needed (occasionally) to support key client engagements.