Forward Deployment Engineer, AI

PerfectServe

Forward Deployment Engineer, AI optimizing and deploying AI voice agent solutions for PerfectServe's customers. Collaborating with Product and Customer Success to ensure successful go-live and ongoing support.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python backend development and experience with LLM APIs for deploying GenAI systems. Capable of optimizing AI voice agent performance while ensuring compliance in regulated environments.

Highest-signal resume keywords

Python Backend DevelopmentLLM API ExperienceCloud-Native Architecture (AWS)Regulated Environment ExperienceVoice or Conversational AI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringAI Voice Agent ConfigurationModel Evaluation and BenchmarkingLatency OptimizationInference Cost Management

Soft Skills

Product-Minded Systems ThinkingExecutive CommunicationCustomer Requirement Translation

Tools & Technologies

GenAI SystemsCloud Services (AWS)Monitoring Tools

Industry Keywords

Security-Conscious EnvironmentsPHI HandlingOnboarding Process Automation

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Help configure and rollout customers of our existing AI voice agent
Build and run evaluation suites to validate behavior, catch regressions, and tune prompts as new customers are deployed
Develop new features and fixes to the core product
Optimize latency, inference cost, and hallucination guardrails
Run and improve model evaluation, benchmarking, and observability across the product
Monitor cost controls, usage monitoring, and security/PHI handling constraints
Partner with Product and Customer Success to turn customer requirements into working, validated deployments, and own customer go-live, post-launch monitoring, and production issue debugging
Help streamline and automate the onboarding process to reduce the engineering effort required to bring each new customer live

Requirements

What you’ll need

3+ years software engineering experience with strong Python backend skills
1+ years of production experience with LLM APIs, deploying and supporting GenAI systems at scale
Cloud-native architecture experience, preferably AWS
Experience in regulated or security-conscious environments
Product-minded systems thinker, comfortable with ambiguity and executive communication
Experience with voice or conversational AI a plus
Comfortable translating non-technical customer requirements into working configuration

Benefits

Comp & perks

Remote first work environment
Health, Dental, Vision, Life and Disability Insurance options available day one.
401K - with match and immediately vested.
17 company holidays, 2 floating holidays plus competitive paid time off policy
Internal Advancement Opportunities