Associate Forward Deployed Engineer

Eliza

Entry-level engineer assisting in client-facing AI engagements and solutions development at an advanced-tier OpenAI partner. Collaborating with senior engineers on various AI projects across industries.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming skills in Python and familiarity with cloud platforms such as AWS, GCP, or Azure. Capable of building and testing AI components while effectively communicating with clients and managing project ownership.

Highest-signal resume keywords

Python ProgrammingClient-Facing ExperienceCloud Platform ExposureHands-On Experience with LLMsVersion Control / CI Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingJavaScriptTypeScriptGoData Pipeline DevelopmentAPI DevelopmentModel IntegrationPrompt EngineeringVector SearchSoftware Engineering

Soft Skills

Clear CommunicationHigh Ownership InstinctAdaptabilityProblem-SolvingClient Engagement

Tools & Technologies

AWSGCPAzureVersion ControlCI Workflows

Industry Keywords

AI SystemsML/AI Project WorkPrototypingTechnical ReviewClient Sessions

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaScriptPythonSwitchingTypeScript

About the role

Key responsibilities & impact

Build and test components of custom AI systems—model integrations, data pipelines, APIs, and deployment tooling—under senior technical direction.
Participate in client sessions across the engagement lifecycle: requirements gathering, prototype reviews, technical working sessions, and delivery readouts.
Take direct ownership of scoped client-facing assignments, with responsibility growing over your first several months.
Prototype rapidly and iterate against real client feedback.
Proactively identify opportunities to apply AI within Eliza's own operating rhythms.
Scope, build, and present high-impact internal solutions end-to-end.
Write clean, reviewable code and respond productively to technical review.
Learn and apply Eliza's delivery standards for quality, documentation, and pace.
Keep the engagement team informed on status without needing to be chased.
Work closely with Lead and Senior FDEs, absorbing different approaches to technical and client problems.

Requirements

What you’ll need

0–2 years of software engineering experience, or equivalent demonstrated ability through internships, open-source contributions, or substantial personal projects.
Strong programming skills in Python; familiarity with JavaScript/TypeScript, Go, or similar is a plus.
Clear written and verbal communication, and real interest in working directly with clients.
Working exposure to modern cloud platforms (AWS, GCP, or Azure) and version control / CI workflows.
Evidence of shipping something real—a working system, tool, or model that other people used.
High ownership instinct: you finish things, and you ask for help before a problem becomes a crisis.
Hands-on experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, or prompt engineering is preferred.
Any prior client-facing, consulting, or professional services exposure is preferred.
Familiarity with ML/AI project work, independently or alongside data science teams is preferred.
Comfort with ambiguity and rapid context-switching across problem domains is preferred.

Benefits

Comp & perks

Competitive compensation (salary + annual bonus)
Equity options in a growing AI services company
Fully remote work
Remote work perks include a WFH stipend and monthly lifestyle stipend
Direct mentorship from senior engineers on live client work, starting immediately.
Exposure to multiple industries, clients, and problem domains in your first year.
A collaborative, mission-driven team passionate about the real-world impact of AI.