Associate Platform Engineer, AI Agents

Role: Associate Platform Engineer, AI AgentsWork AuthorizationEranova is unable to sponsor employment visas for this role. Candidates must already be authorized to work in the U.S.Salary Range$70,000 - $80,000 (final offer within this range will depend on experience and qualificationsLocationCharlotte, NC (Onsite) Employment TypeFull-TimeReports ToDirector of EngineeringRole NoteThis role is designed for a strong generalist software engineer who is confident across our stack and energized by understanding production systems end-to-end. The Associate Platform Engineer is a foundational hire on our growing Platform Engineering team.Our stack centers on Python services running on AWS - primarily Lambda, S3, SQS, DynamoDB, API Gateway, and EC2 - with CloudFormation for infrastructure-as-code and CloudWatch for observability. We use DynamoDB heavily and SQL/RDS only occasionally. On the frontend, we build with React, TypeScript, Next.js, and Tailwind CSS. Success in this role requires genuine confidence across these AWS components - navigating the console, reading CloudWatch logs, inspecting DynamoDB records, and tracing requests through our serverless infrastructure. Equally important: the instinct to drop into an unfamiliar codebase, identify where a problem lives, and ship a clean fix. Operational fluency in AWS and codebase-diving instinct are the non-negotiables for this role.You will work alongside our Forward Deployed Engineers (FDEs) and Deployment Strategy team - supporting existing client deployments, building the documentation and operational playbooks that allow our support function to scale, contributing engineering capacity to active deployments, and helping ship internal product. This is a client-facing role: you will be introduced to clients as the technical resource supporting their deployment, and communicate with them directly when issues arise. Over time, this role grows into senior platform engineering positions, with possible lateral movement into our Forward Deployed Engineering track based on demonstrated fit.This is not a support-only role. Client support is priority-one when it arises but represents only a portion of any given week. The majority of your time will go to documentation systems, engineering capacity on active deployments, and internal product. Candidates looking for a traditional help-desk or ticket-queue role will not be a fit.About EranovaEranova's platform automates enterprise workflows through AI agents, unlocking value that traditional software couldn't reach. The modules within our suite leverage Agentic AI to automate back-office processes across industries at enterprise-scale.Eranova is seeking talented and eager team members interested in contributing to real-world applications of AI and excited to define the standard for how AI Agents integrate into enterprise workflows.Our Platform Engineering team works in a high-ownership, fast-moving environment alongside our Forward Deployed Engineers - supporting live customer deployments, scaling our operational maturity, and contributing to internal product development at a company carving the way for enterprise applications of AI Agents.that matter in this roleYou are a strong generalist who is genuinely curious about every layer of a production systemYou are confident navigating AWS production environments - logs, services, infrastructure, and dataYou can drop into an unfamiliar codebase, orient yourself quickly, and ship clean fixes or new featuresYou are disciplined about documentation and bring rigor to operational detailsYou are credible and clear in client-facing communication, both written and spokenYou take pride in leaving systems more understandable than you found themYou can communicate technical concepts to non-technical stakeholders without losing precisionYou are comfortable shifting priorities as client needs arise, and bring urgency when production issues hitYou write code with clarity and discipline - clean, modular, OOP-driven - even when the work is "behind the scenes"You are energized by growing into a senior engineering role at a fast-moving AI companyResponsibilitiesThe Associate Platform Engineer role spans five primary buckets of work. The allocation below reflects steady-state expectations; the first six months will be more heavily weighted toward documentation and learning our deployed systems.Client Deployment Support (~25%)Serve as a primary technical responder for existing client deployment issuesTriage and resolve production issues across our AWS-based deploymentsInvestigate root causes using CloudWatch logs, DynamoDB inspection, and tracing requests through our serverless architectureImplement and ship hot-fixes when production issues require code changesCommunicate directly with client stakeholders during active incidents and routine supportMaintain a high bar of urgency, ownership, and client communication when issues ariseExisting Deployment Documentation & Playbook Development (~25%)Document the architecture, integrations, and operational characteristics of each existing client deploymentBuild runbooks and support playbooks for recurring issues and operational patternsEstablish standardized support protocols that make our operations scalable as the team growsIdentify recurring issues that signal opportunities for upstream platform improvementOwn the institutional knowledge that allows future Platform Engineers to onboard quicklyForward Deployed Engineering Support (~25%)Partner with FDEs to take on supplementary deployment components - work that benefits from strong engineering but doesn't require the lead FDE's direct attentionServe as a technical resource for our Deployment Strategy team, translating system behavior for non-technical stakeholders and providing technical depth when they need itStep in on smaller client engagements or specific workstreams where appropriate, including direct client interactionInternal Product Development (~20%)Contribute to our React-based multi-tenant platform dashboardMake enhancements to our React-based marketing websiteHelp establish internal product engineering patterns alongside our broader engineering teamAgentic AI Patterns & Research (~5%)When capacity allows, contribute to internal research and exploration around agentic AI patternsQualificationsRequired2-4 years of professional software engineering experienceStrong software engineering fundamentals - clean, modular, maintainable, OOP-driven codeHands-on experience across the core AWS stack, including Lambda, S3, SQS, DynamoDB, API Gateway, EC2, CloudFormation, and CloudWatchDemonstrated comfort navigating AWS production environments - reading logs, inspecting data, tracing requests across servicesStrong proficiency in PythonProven ability to drop into an unfamiliar codebase, debug effectively, and ship clean fixesExperience supporting production systems with client-facing implicationsExperience with React, TypeScript, Next.js, and Tailwind CSSExperience building or contributing to documentation systems, runbooks, or operational playbooksStrong written and verbal communication skills, with the ability to communicate clearly with clients and non-technical stakeholdersWillingness to work onsite in Charlotte, NCWillingness to travel up to 15% for client support and engagementPreferredHands-on experience with DynamoDB and other NoSQL data modelingExperience with infrastructure-as-code using AWS CloudFormationFamiliarity with CI/CD pipelines, particularly GitHub ActionsFamiliarity with LLM applications, retrieval-augmented generation, embeddings, or AI agent frameworksExperience working in a fast-moving startup or client-services environmentExperience integrating with enterprise systems such as ERP, TMS, accounting platforms, or operational toolsSkillsPython | IntermediateObject-Oriented Programming | IntermediateAWS | AdvancedAWS Lambda | IntermediateAmazon S3 | IntermediateAmazon SQS | IntermediateDynamoDB / NoSQL | AdvancedAPI Gateway | IntermediateEC2 | IntermediateCloudFormation | IntermediateCloudWatch | IntermediateRDS / SQL Databases | BasicServerless Architecture | IntermediateREST APIs | IntermediateCI/CD | BasicGitHub Actions | BasicGit | IntermediateReact / TypeScript / Next.js | IntermediateTailwind CSS | BasicLLM Applications | BasicAI Agents / Agentic AI | BasicStructured Outputs | BasicRAG | BasicEmbedding Models | BasicProduction Support & Debugging | IntermediateTechnical Documentation | IntermediateClient-Facing Communication | IntermediateA Note for Candidates Who Read to the EndEranova is hiring for this role urgently, and we move fast for candidates who match what we are actually looking for.If you have read to this point and believe you are a strong fit, send a direct email to with the subject line "Associate Platform Engineer, AI Agents - Direct Application" and you will be shortlisted for an expedited interview process.To qualify for the expedited track, your email must concisely address all of the following:Confirmation that you do not require visa sponsorship now or at any point in the futureA brief description of your hands-on experience across core AWS components, and your experience supporting AWS-driven software systemsA specific example demonstrating your proven ability to jump into a new codebase and figure out what is going wrongA specific example demonstrating both the ability and the desire to deliver new features - not just support work - using clean, modular, supportable OOP codeA short statement on your interest in agentic AIA concise statement on what would make this role one you are genuinely excited to show up for every dayYour expected compensationCandidates who follow these instructions move to the front of the queue. We read every direct application that arrives in this format.

Created: 2026-05-15