Forward Deployed Engineer — Dynamo AI

Forward Deployed Engineer — Dynamo AILocation: Remote (East Coast US or United Kingdom) Compensation: $150,000 – $200,000 base + equity Experience Level: 3–8 years Employment Type: Full-TimeAbout Dynamo AIDynamo 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 RoleThis 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 OwnDeploy and operationalize AI systems in production environmentsDesign enterprise deployment architecturesIntegrate Dynamo AI products into customer infrastructureDebug and troubleshoot deployment challengesWork directly with engineering, security, compliance, and infrastructure teamsTranslate customer deployment challenges into product feedbackSupport AI governance, evaluation, and observability workflowsOwn 3–4 customer deployments simultaneouslyBridge customer needs with product and engineering teamsRequirements3–8 years of post-undergraduate experienceStrong Kubernetes experience and networking expertiseDevOps and platform engineering experienceDistributed systems knowledge and API integration experienceEnterprise deployment experience with strong scripting skillsCustomer-facing engineering experienceAbility to work independentlyComfortable supporting East Coast US or UK customersAvailable for occasional evening collaboration with India-based teamsTarget BackgroundsStrong 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 HaveMaster's degree in Computer Science or EngineeringGenerative AI infrastructure or LLM deployment experienceFinancial services, healthcare, or government technology experienceAI observability, evaluation frameworks, guardrails, or governance and compliance systemsThis Role Is NOT ForTraditional bank DevOps engineers or legacy enterprise IT backgroundsPure software engineers with no deployment experienceCandidates without customer-facing experienceBig-company-only backgrounds without startup adaptationWeak Kubernetes knowledge or limited infrastructure ownershipInterview ProcessInitial screen with Oliver LiuRound 1 technical with Yash — Kubernetes, networking, DevOpsRound 2 mock customer deployment with Edwin — live Kubernetes deployment exercise, debugging and adaptation; AI tools allowedRound 3 domain expertise and behavioralFounder roundOfferLogisticsRole is fully remote — East Coast US or United KingdomOccasional evening availability required for collaboration with India-based teamsShortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Dynamo AI.Originally posted on Himalayas