Associate Forward Deployed Engineer

ELIZA; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Fully remote work

WFH stipend

Lifestyle stipend

Mentorship from senior engineers

Monthly industry exposure

Job summary

Eliza is seeking an Associate Forward Deployed Engineer to join our delivery team. In this entry role, you will work with Lead and Senior FDEs on live client engagements, contributing to the technical build from requirements through proof-of-concept and delivery.

You’ll rotate across engagements, gaining exposure to various industries and hard problems, while identifying internal AI use cases to improve Eliza’s own operations.

Qualifications

• 1) 0–2 years of software engineering experience or demonstrated equivalent through internships or projects.
• 2) Strong Python programming; familiarity with JavaScript/TypeScript, Go or similar is a plus.
• 3) Clear written and verbal communication; interest in direct client work.
• 4) Experience with modern cloud platforms and version control/CI workflows.
• 5) Evidence of shipping a real system, tool, or model used by others.

Responsibilities

• Contribute to client-facing solution delivery: build/test components of AI systems under senior direction.
• Own internal AI use cases: scope, build, and present internal solutions end-to-end.
• Build technical craft: write clean code, follow delivery standards, understand LLM integration and cloud deployment.
• Escalate challenges early with clear context and engage senior input when needed.
• Learn through direct mentorship from Lead and Senior FDEs; seek feedback and improve client communication.

Skills

Python

JavaScript/TypeScript

Go

Cloud platforms (AWS/GCP/Azure)

Client communication

Ownership mindset

Job description

Associate Forward Deployed Engineer

About Us

Eliza is a technology services company and Advanced-tier OpenAI partner that’s dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.

Role Overview

The Associate Forward Deployed Engineer (Associate FDE) is an entry point to our delivery team that grows into full ownership of client-facing AI engagements. Associate FDEs work alongside our Lead and Senior Forward Deployed Engineers on live client work—contributing directly to the technical build, joining client conversations from requirements gathering through proof-of-concept and delivery, and taking on scoped client-facing assignments as readiness grows.

You will rotate across engagements rather than sitting on one account, which means exposure to several senior engineers, several industries, and several kinds of hard problems in your first year. Alongside client work, Associate FDEs identify, build, and present internal AI use cases that improve how Eliza itself operates—real problems you own end-to-end, with real users.

This is a deliberate entry point into forward-deployed engineering. The role is structured so that engineers who consistently meet our delivery bar build toward independently owning client engagements.

Key Responsibilities

1. Contribute to Client-Facing Solution Delivery

• 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.

2. Own Internal AI Use Cases

• Proactively identify opportunities to apply AI within Eliza's own operating rhythms.

• Scope, build, and present high-impact internal solutions end-to-end.

• Use that work to build the judgment, communication, and delivery instincts client ownership requires.

3. Build Technical Craft

• Write clean, reviewable code and respond productively to technical review.

• Learn and apply Eliza's delivery standards for quality, documentation, and pace.

• Develop working fluency with LLM integration, prompt design, evaluation, and cloud deployment.

4. Escalate Clearly and Early

• Surface complex technical challenges, blockers, and risks with clear context.

• Know the difference between a problem you should push through and one that needs senior input.

• Keep the engagement team informed on status without needing to be chased.

5. Learn Through Direct Mentorship

• Work closely with Lead and Senior FDEs, absorbing different approaches to technical and client problems.

• Seek and act on direct feedback about technical execution, client communication, and ownership.

• Build the client-management nuance that separates good engineering from good delivery.

Qualifications

Required

• 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.

Preferred

• Hands-on experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, or prompt engineering.

• Any prior client-facing, consulting, or professional services exposure.

• Familiarity with ML/AI project work, independently or alongside data science teams.

• Comfort with ambiguity and rapid context-switching across problem domains.

What We Offer

• 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.