Forward Deployed Engineer (FDE)

United States

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$190,000 – $250,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Requirements

Candidates should possess over 5 years of experience in a pre-sales or deployment-focused engineering role for a deeply technical product, ideally in AI, ML, or infrastructure, with early-stage startup experience being highly desirable. A strong engineering foundation, preferably in Computer Science, Mathematics, Physics, Software Engineering, or Machine Learning, along with advanced degrees, is a plus. Proficiency in coding and scripting languages such as Python, TypeScript, Java, and Bash is required. Working knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), infrastructure as code (Terraform, CloudFormation), containers (Docker, Kubernetes), and CI/CD pipelines is necessary. Candidates must be comfortable in client-facing roles, translating technical concepts into actionable solutions, and providing thought leadership, demonstrating strong problem-solving skills to own complex technical projects end-to-end in high-volume, ambiguous environments.

Responsibilities

The Forward Deployed Engineer will work directly with prospects and customers to review their AI/ML applications and provide guidance, including architectural and hands-on programming. They will develop and deploy cutting-edge AI/ML solutions, such as GenAI workflows, LLMs, RAG, multi-agent systems, and fine-tuning pipelines. This role involves driving adoption of Union by leveraging hands-on experience in building demonstrable use cases, troubleshooting workflows, and showcasing platform value. The FDE will own the technical success of trials and production deployments, engage at all levels of technical stakeholders to drive technical debates and design choices, and serve as a trusted technical advisor. Responsibilities also include contributing to the technical qualification of opportunities, representing the product at field events, actively supporting Union users with onboarding and debugging, diving deep into competitive technologies, and influencing the internal product roadmap and strategy by sharing field learnings.

Skills

Flyte

GenAI

LLMs

RAG

multi-agent systems

fine-tuning pipelines

AI/ML

AI infrastructure

orchestration

cloud/software deployment

architectural guidance

hands-on programming

Union.ai

Managed platform for ML and data orchestration

About Union.ai

Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.

Bellevue, WashingtonHeadquarters

2021Year Founded

$28.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees