Eliza is looking for an Associate Forward Deployed Engineer to join its growing AI delivery team. This is an excellent opportunity for an early-career software engineer who enjoys building practical AI solutions, working directly with clients, and solving real-world technical problems. You’ll collaborate with experienced engineers on custom AI systems while developing your skills in LLMs, APIs, data pipelines, cloud platforms, and client-facing delivery.
Job Overview
| Field | Details |
|---|---|
| Company Name | Eliza |
| Role | Associate Forward Deployed Engineer |
| Qualification | 0–2 years of software engineering experience or equivalent experience through internships, open-source work, or substantial personal projects |
| Job Location | Remote – United States |
| Salary | $110,000 – $120,000 USD per year |
| Work Type | Fully Remote |
| Job Type | Full-Time |
| Job Level | Entry-Level / Associate |
| Industry | Artificial Intelligence / Technology Services |
Job Description
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.
Selection Process
- Application and resume screening.
- Initial conversation with the Eliza hiring team.
- Technical assessment or engineering interview.
- Technical and client-facing problem-solving interviews.
- Final interview with senior team members.
- Offer and onboarding.
How to Apply
- Review the Associate Forward Deployed Engineer requirements.
- Prepare an updated resume highlighting software engineering, AI/ML, cloud, or relevant project experience.
- Submit your application through the Eliza job listing.
- Complete any requested technical assessment or interview stages.
- Discuss your experience, projects, communication skills, and approach to solving ambiguous problems.
- If selected, complete the offer and onboarding process.
