> 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.

# Applied AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/43259435117e1837

Nexxa.ai posts a senior FDE role to build what the customer runs in Sunnyvale, CA with no pay posted. This forward-deployed Applied AI Engineer leads end-to-end customer engagements, translating enterprise workflows and data into deployed GenAI, machine learning, and computer vision solutions. Read from the employer’s posting on November 8, 2026.

- [Nexxa.ai](https://nextmove.md/fde/companies/nexxa-ai)

Posted Jun 16, 2026 by Nexxa.ai · open on Ashby as of Nov 8, 2026

Pay not posted Sunnyvale, CA On-site Full-time

This forward-deployed Applied AI Engineer leads end-to-end customer engagements, translating enterprise workflows and data into deployed GenAI, machine learning, and computer vision solutions.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F43259435117e1837&placement=top)
- [View posting at Nexxa.ai](https://jobs.ashbyhq.com/nexxa/e5239a3c-84e3-44ae-af9a-5294ebfb2606/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

Not posted

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 (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, or Technical Consultant

Background

- **Software engineering**
- **Forward deployed engineering**
- **Consulting**

### 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 Sunnyvale, 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**: Sunnyvale, CA

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

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## The job description from Nexxa.ai

Posted by Nexxa.ai on Jun 16, 2026

Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.
Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

### Role Overview

We’re looking for **Applied AI Engineers **to work as forward deployed directly with customers and lead the end-to-end delivery of high-impact technical solutions. You’ll embed deeply with customer teams, translating real-world challenges into production-ready systems that leverage **Generative AI**, **Computer Vision**, and **Machine Learning**.

This role is a blend of software engineering, ML engineering, architecture, and consulting. You’ll design and deploy solutions, integrate models, build custom workflows, and guide customers through successful implementation. This position requires **frequent travel** to customer sites.

### Key Responsibilities

- Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
- Architect, build, and deploy custom solutions leveraging **GenAI**, **LLMs**, **Machine Learning and Vision models**, and customer data sources.
- Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.
- Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
- Build reliable, scalable software integrations using APIs, cloud services, and containerized systems.
- Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.
- Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features.
- Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
- Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.
- Mentor junior engineers and contribute to internal best practices for FDE delivery.

### Qualifications

- 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
- Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.
- Hands-on experience with **Machine Learning**, including training, fine-tuning, evaluating, or deploying models.
- Direct experience with **Generative AI (LLMs, multimodal models)** and applying them to real-world problems.
- Exposure to **Computer Vision** techniques (detection, segmentation, OCR, embeddings, multimodal pipelines).
- Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.).
- Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills with both technical and non-technical audiences.
- Comfort leading customer-facing engagements and guiding stakeholders through ambiguity.
- Willingness and ability to travel frequently.

### Preferred

- Prior experience in **consulting**, **technical solutions**, **professional services**, or customer-embedded technical roles.
- Experience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG).
- Experience building APIs, microservices, or distributed systems.
- Familiarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML).
- Background in deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.).
- Experience in startup or high-growth environments.

### What We’re Looking For

- A customer-obsessed senior engineer who thrives in deeply technical, fast-moving environments.
- A creative problem solver who can translate vague requirements into robust, scalable solutions.
- Someone excited to combine software engineering with real-world AI deployments.
- A leader who can own outcomes end-to-end and influence both customer and internal teams.
**Why Join ** **Nexxa.AI** **?**
- **Innovative Environment:** Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.
- **Collaborative Culture:** Be part of a team that values innovation, discipline, and continuous improvement.
- **Professional Growth:** Benefit from significant opportunities for career development and advancement.
- **Competitive Compensation:** Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.

**If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.**

[View posting at Nexxa.ai](https://jobs.ashbyhq.com/nexxa/e5239a3c-84e3-44ae-af9a-5294ebfb2606/application)

## About Nexxa.ai

Nexxa builds industrial AI agents and orchestration software that automate engineering and operating workflows in heavy industry.

Seed · 10–50 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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