> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Software Engineer - Applications

Canonical URL: https://nextmove.md/fde/jobs/0686c28278c3efd2

Elorian posts a FDE role to build what the customer runs in Palo Alto, CA, at $250,000–$400,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Builds production applications and integrations that connect Elorian’s Glimpse multimodal model with enterprise systems and real-world workflows. Read from the employer’s posting on November 8, 2026.

- [Elorian](https://nextmove.md/fde/companies/elorian)

Posted Oct 31, 2026 by Elorian · open on Ashby as of Nov 8, 2026

**$250,000–$400,000** + equity Palo Alto, CA On-site Full-time

Builds production applications and integrations that connect Elorian’s Glimpse multimodal model with enterprise systems and real-world workflows.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F0686c28278c3efd2&placement=top)
- [View posting at Elorian](https://jobs.ashbyhq.com/elorian-ai-inc/c8985274-7883-43ce-8135-c88e1f6f8832/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$250K–$400K Above the median

Midpoint $325K · median $190K

This job $250K to $400K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** building and shipping high-performance production software

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Palo Alto, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Palo Alto, CA

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Pay**:

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## The job description from Elorian

Posted by Elorian on Oct 31, 2026

### About Us

We are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers—including Andrew Dai, previously an engineering leader on Gemini—our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.

Our team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.

### About The Role

As a **Software Engineer – Applications**, you will build the engineering bridge between our core multimodal research and real-world production deployments. This is an engineering-first, high-impact role where you will design and implement reference architectures, production-grade integration frameworks, developer SDKs, evaluation harnesses, and bespoke end-to-end applications powered by Glimpse.

You will sit at the intersection of product engineering, model evaluation, and customer architecture. Working directly with founders, early enterprise partners, and our internal research team, you will turn complex multimodal requirements into robust, high-performance systems and feed real-world constraints directly into our model roadmaps.

### What You Will Do

- **Architect & Build Production Integrations:** Design, build, and deploy low-latency, scalable application architectures integrating Glimpse into complex enterprise data pipelines and high-throughput workflows.
- **Develop Reference Systems & Tooling:** Create open-source reference implementations, production-ready demo applications, developer tooling, and SDK components that establish the standard for building on Glimpse.
- **Build Evaluation & Benchmarking Infrastructure:** Design and implement rigorous evaluation pipelines and benchmarking harnesses to systematically test Glimpse against other frontier multimodal models on diverse, real-world visual datasets.
- **Debug Across the Stack:** Systematically isolate and resolve bottlenecks across application pipelines, data ingestion layers, model inference APIs, and prompt/orchestration logic.
- **Partner Technically with Early Adopters:** Serve as the core technical architect for engineering teams at design-partner companies, guiding technical discovery, proof-of-concept development, and deployment to production.
- **Influence Model & Platform Roadmaps:** Translate real-world application failure modes, edge cases, and performance requirements into prioritized specifications for our core research and model infrastructure teams.

### What We Are Looking For

- **Strong Core Engineering:** 5+ years of experience building and shipping high-performance, production software in Python (and ideally TypeScript or Go/Rust). You write clean, maintainable code and can speak deeply to your architectural decisions.
- **Hands-on LLM/Multimodal Application Engineering:** Experience building complex systems beyond basic API calls—such as agentic workflows, structured tool-use frameworks, model evaluation pipelines, or orchestration layers for vision-language models.
- **Model Understanding & Evaluation:** Hands-on experience evaluating, fine-tuning, or benchmarking ML models. You can systematically differentiate between model failure modes, pipeline errors, and data-quality issues.
- **Full-Lifecycle Ownership:** A builder mindset with a bias for shipping quickly. Experience as a founding engineer, startup core contributor, or forward-deployed engineer is highly valued.
- **Systems & Data Architecture:** Familiarity with modern cloud architecture, API design, vector/multimodal indexing, streaming protocols, and handling high-volume image/video data pipelines under tight latency and cost constraints.
- **Clear Technical Communication:** Ability to communicate complex architectural tradeoffs clearly to both internal research teams and external engineering leaders.

### Nice To Have

- Prior experience at a foundation model provider, AI developer platform, or ML infrastructure company.
- Direct experience building multimodal applications in vision-heavy verticals (e.g., robotics, industrial automation, manufacturing, geospatial, medical imaging, or media production).
- Experience developing public developer APIs, open-source AI tooling, or developer ecosystems.

### Logistics

- **Location:** On-site in Palo Alto, CA
- **Employment Type:** Full-time
- **Compensation**: $250,000 – $400,000 + significant equity + comprehensive health insurance and perks

[View posting at Elorian](https://jobs.ashbyhq.com/elorian-ai-inc/c8985274-7883-43ce-8135-c88e1f6f8832/application)

## About Elorian

Elorian builds multimodal foundation models designed to reason directly about visual information and physical-world scenes.

Seed · 10–50 people

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