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AI Field Engineer, EMEA

Fireworks AILondonSales
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Salary
Not listed
Job type
Full-time
Posted
22 Jul 2026
Status
Open · checked 7d ago

About this role

Fireworks AI is seeking an AI Field Engineer for a full-time, on-site role in London to help enterprise customers build and scale generative artificial intelligence systems. This position suits an experienced technical professional who enjoys working directly with clients to turn complex machine learning concepts into production-ready software.

Role Overview

As an AI Field Engineer, the individual acts as the technical tip of the spear for Fireworks AI, embedding with ambitious enterprise clients and technology partners to accelerate AI adoption. The role blends engineering, product strategy, and customer delivery. Most of the time is spent writing code, building proofs of concept, running benchmarks, debugging production challenges, and designing deployments while simultaneously leading high-level architectural discussions with executive stakeholders.

Key Responsibilities

Build end-to-end proofs of concept and minimum viable products side by side with client engineering teams within their specific infrastructures and constraints.
Architect robust inference foundations and size deployments to support scaling without infrastructure bottlenecks.
Execute load tests, establish performance baselines for latency, throughput, and cost, and tune deployments against realistic traffic profiles.
Deploy and validate new model families on modern inference frameworks while determining optimal quantization configurations and serving patterns.
Guide organizations on model selection, evaluation methodology, and fine-tuning strategies including supervised fine-tuning, direct preference optimization, and reinforced fine-tuning.
Lead structured discovery sessions to diagnose obstacles, manage technical relationships from inception to production, and spend time on-site to build strong local partnerships.
Translate recurring client friction points into actionable product feedback, contributing repeatable deployment patterns back to internal tooling and documentation.

Requirements

Minimum of 5 years of experience in a hands-on, customer-facing technical capacity such as a forward deployed engineer, applied AI engineer, solutions architect, or technical founder.
Demonstrated history of building and shipping production software inside external client environments.
Strong proficiency in Python, including the ability to write, read, and debug production-grade code.
Working knowledge of infrastructure engineering, Kubernetes, and cloud infrastructure platforms including AWS, Azure, and GCP.
Familiarity with the large language model stack, model serving, inference trade-offs, and fine-tuning workflows.
Exceptional communication capabilities ranging from executive presentations to deep-dive technical troubleshooting with machine learning engineers.

Nice to Have

10 or more years of overall experience in technical field or software engineering roles.
Direct background utilizing inference serving frameworks such as vLLM, SGLang, or TensorRT-LLM for real workloads.
History of acting as a technical authority within client environments to navigate complex constraints.
Proven track record guiding generative AI initiatives from initial prototype stages to full production-scale deployment.
Practical exposure to hyperscaler artificial intelligence platforms like Azure AI Foundry, AWS Bedrock, Amazon SageMaker, or Google Cloud Vertex.
Experience constructing or integrating agentic systems, tool-use chains, or AI-native developer tooling.

Skills and Tools

Python
PyTorch
Large Language Models
Kubernetes
Cloud Infrastructure (AWS, GCP, Azure)
Inference Frameworks (vLLM, SGLang)

About the Company

Fireworks AI provides a platform for specialized intelligence that empowers businesses to build, train, and serve artificial intelligence models customized to their distinct data and workflows. Founded by the team behind PyTorch and backed by prominent venture capital firms and industry leaders, the organization powers production artificial intelligence across text, image, embedding, audio, and multimodal workloads.

How to Apply

Interested candidates should visit the official Fireworks AI careers page to submit an application for this position.

Skills and tech stack

PythonPyTorchAWSGCPAzureKubernetesLLM

Questions candidates ask

What is the location of the AI Field Engineer role?

The position is based in London, United Kingdom, and is an on-site role requiring direct customer engagement.

What level of experience is required for this job?

Candidates must have a minimum of 5 years of experience in a hands-on, customer-facing technical role, with 10+ years preferred for senior applicants.

What primary programming language is needed?

Strong Python skills are required, including the ability to read, write, and debug production code.

What technical knowledge regarding AI models is expected?

Applicants need a working knowledge of the large language model stack, inference trade-offs, model serving, and fine-tuning workflows.

How should I apply for this position?

You should apply directly on the official Fireworks AI careers page.

Ready to apply?

The application is on the official Fireworks AI careers page.

Apply on company site