Forward Deployed Software Engineer

Role: Forward Deployed Software Engineer, Agentic AIWork Authorization: Eranova is unable to sponsor employment visas for this role. Candidates must already be authorized to work in the U.S.Salary Range: $80,000 – $165,000 (final offers within this range will depend on experience and qualifications)Location: Charlotte, NC (Onsite)Employment Type: Full-TimeRole Note:This role is designed for an exceptional software engineer first — someone who writes clean, modular, object-oriented code with hands-on experience architecting and deploying scalable systems on AWS. Candidates with backgrounds focused primarily on data science, analytics, or model experimentation without strong engineering and system-design expertise will not be a fit for this position.Familiarity with the Agentic AI stack and experience applying AI agents to enterprise workflows are highly valued, but secondary to your ability to design, build, and ship robust software systems.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 Forward Deployed Engineering team works in a high-ownership, fast-moving, high-accountability environment. We provide opportunities for entry level through lead engineers to drive real impact and own major deployments at a company carving the way for enterprise applications of AI Agents.https://www.eranova.aiTraits that matter in this roleThis is a role for engineers who want direct ownership, real customer exposure, and the opportunity to shape the future of enterprise Agentic AI.You are highly technical and highly practicalYou can move from whiteboarding a workflow with a customer to implementing the production system behind itYou are comfortable owning ambiguous problems end to endYou write code with clarity and disciplineYou can communicate clearly with both engineers and non-technical stakeholdersYou thrive in high-accountability environments where speed and quality both matterYou are energized by seeing software deployed in real operational settings with real business impactResponsibilitiesOwn customer deployments from initial discovery through launch and ongoing iterationTravel onsite to work directly with client stakeholders, workshop workflows, and gather technical and operational requirementsMap back-office processes and identify how AI agents can automate high-value operational tasksAssess and integrate with enterprise systems such as ERP, TMS, accounting platforms, document systems, and internal operational toolsDesign and build production-grade backend systems that support enterprise AI workflowsArchitect and deploy cloud infrastructure on AWS using infrastructure-as-code, including CloudFormation-based environments and supporting servicesBuild and maintain services using core AWS components such as Lambda, S3, SQS, DynamoDB, API Gateway, EC2, and RDS/SQL-based systems where appropriateDesign secure, scalable, and maintainable system architectures for enterprise deploymentsImplement agentic AI components including LLM-powered workflows, structured outputs, retrieval patterns, and orchestration logic where appropriateWrite clean, modular, understandable object-oriented code that other engineers can easily maintain and extendPartner closely with internal engineering and product teams to improve reusable deployment patterns, tooling, and architectureSupport critical deployment phases with urgency and strong execution standardsServe as a highly credible technical partner to client stakeholders throughout implementationQualificationsStrong software engineering foundation with proven experience building and deploying production-grade systemsHands-on experience architecting and deploying applications on AWS in real production environmentsStrong proficiency in Python for backend application developmentDemonstrated experience writing clean, modular, maintainable object-oriented codeStrong understanding of software design, system architecture, reliability, and engineering best practicesExperience deploying enterprise-ready systems with a high bar for stability, readability, and maintainabilityExperience working with AWS services such as Lambda, S3, SQS, DynamoDB, API Gateway, EC2, and relational databasesExperience with infrastructure-as-code, especially AWS CloudFormationStrong experience with SQL and relational databasesAbility to deeply understand and explain systems you have built, including architecture decisions, tradeoffs, and implementation detailsStrong communication skills and comfort working directly with external stakeholdersWillingness to travel up to 50% for client implementationsWillingness to work onsite in Charlotte, North CarolinaExperience architecting end-to-end serverless systems on AWSExperience integrating with enterprise platforms such as ERP, TMS, accounting, and other operational systemsExperience building software for document-heavy or workflow-heavy enterprise environmentsExperience applying AI agents to real business processes, especially automation of enterprise workflowsExperience with structured outputs for LLM applicationsExperience with retrieval-augmented generation, embeddings, and related AI application patternsExperience building and maintaining CI/CD pipelines, including GitHub ActionsFamiliarity with frontend technologies such as React, TypeScript, Next.js, and Tailwind CSSExperience operating in highly ambiguous, fast-moving client environmentsSkills Programming | Python | AdvancedProgramming | Object-Oriented Programming | AdvancedCloud / Infrastructure | AWS | AdvancedCloud / Infrastructure | AWS Lambda | AdvancedCloud / Infrastructure | Amazon S3 | AdvancedCloud / Infrastructure | Amazon SQS | AdvancedCloud / Infrastructure | DynamoDB / NoSQL | AdvancedCloud / Infrastructure | API Gateway | IntermediateCloud / Infrastructure | EC2 | IntermediateCloud / Infrastructure | RDS / SQL Databases | AdvancedCloud / Infrastructure | CloudFormation | IntermediateArchitecture | Serverless Architecture | AdvancedArchitecture | Cloud Infrastructure Design | AdvancedIntegration | Systems Integration | AdvancedIntegration | REST APIs | AdvancedDevOps | CI/CD | IntermediateDevOps | GitHub Actions | IntermediateDevOps | Git | AdvancedAI / Agentic Systems | LLM Applications | IntermediateAI / Agentic Systems | AI Agents / Agentic AI | IntermediateAI / Agentic Systems | Structured Outputs | IntermediateAI / Agentic Systems | RAG | IntermediateAI / Agentic Systems | Embedding Models | IntermediateWorkflow Engineering | Workflow Automation Design | AdvancedFrontend (Preferred) | React / TypeScript / Next.js / Tailwind CSS | Basic