Forward Deployed Engineer — Dynamo AI

Location: Remote (East Coast US or United Kingdom)
Compensation: $150,000 – $200,000 base + equity
Experience Level: 3–8 years
Employment Type: Full-Time

About Dynamo AI

Dynamo AI helps enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready. The company provides AI evaluation, observability, governance, and guardrail infrastructure for banks, insurance companies, government agencies, and other regulated enterprises. Products include DynamoEval, DynamoGuard, and AgentWarden.

About the Role

This is a customer-facing infrastructure engineering role owning 3–4 enterprise deployments simultaneously. You will deploy and operationalize AI systems in production environments, integrate Dynamo AI products into customer infrastructure, and bridge customer needs with product and engineering teams. The role requires deep Kubernetes and DevOps expertise with strong customer-facing ownership.

What You'll Own

Deploy and operationalize AI systems in production environments
Design enterprise deployment architectures
Integrate Dynamo AI products into customer infrastructure
Debug and troubleshoot deployment challenges
Work directly with engineering, security, compliance, and infrastructure teams
Translate customer deployment challenges into product feedback
Support AI governance, evaluation, and observability workflows
Own 3–4 customer deployments simultaneously
Bridge customer needs with product and engineering teams

Requirements

3–8 years of post-undergraduate experience
Strong Kubernetes experience and networking expertise
DevOps and platform engineering experience
Distributed systems knowledge and API integration experience
Enterprise deployment experience with strong scripting skills
Customer-facing engineering experience
Ability to work independently
Comfortable supporting East Coast US or UK customers
Available for occasional evening collaboration with India-based teams

Target Backgrounds

Strong signals include Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, AI infrastructure startup experience, Kubernetes production ownership, DevOps leadership, enterprise deployment experience, and regulated industry (financial services, healthcare, government) experience. Ideal roles: Forward Deployed Engineer, Solutions Engineer, Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, AI Infrastructure Engineer, Technical Implementation Engineer, or Enterprise Solutions Architect.

Nice to Have

Master's degree in Computer Science or Engineering
Generative AI infrastructure or LLM deployment experience
Financial services, healthcare, or government technology experience
AI observability, evaluation frameworks, guardrails, or governance and compliance systems

This Role Is NOT For

Traditional bank DevOps engineers or legacy enterprise IT backgrounds
Pure software engineers with no deployment experience
Candidates without customer-facing experience
Big-company-only backgrounds without startup adaptation
Weak Kubernetes knowledge or limited infrastructure ownership

Interview Process

Initial screen with Oliver Liu
Round 1 technical with Yash — Kubernetes, networking, DevOps
Round 2 mock customer deployment with Edwin — live Kubernetes deployment exercise, debugging and adaptation; AI tools allowed
Round 3 domain expertise and behavioral
Founder round
Offer

Logistics

Role is fully remote — East Coast US or United Kingdom
Occasional evening availability required for collaboration with India-based teams

Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Dynamo AI.

Originally posted on Himalayas

Forward Deployed Engineer — Dynamo AI at David Joseph & Company