Applied AI & Automation Engineer

Role SummaryWe are looking for a hands-on Software Engineer – AI & Automation to own, design, build, test, and deploy AI-powered workflows for clients. This role is suited to someone with 1–2 years of experience who is comfortable working with APIs, automation tools, Python and modern AI platforms to solve real business problems.You will work across internal and client-facing projects, helping connect AI tools with CRMs, document workflows, communication tools and operational systems.Key ResponsibilitiesBuild and support AI-powered workflow automations for business operationsIntegrate LLM and AI services into client processes using APIs, webhooks and automation platformsDevelop and maintain backend logic, scripts and lightweight services in PythonImplement internal knowledge assistants, document-processing workflows and lead-handling automationsConnect systems such as CRM, email, scheduling, forms and document platformsTest, debug, and improve the reliability of deployed automationsDocument system logic, workflows and handover notes clearlySupport client onboarding, implementation, QA and troubleshootingWork closely with business and technical stakeholders to turn operational needs into working solutionsRequirements1–2 years of experience in software engineering, automation, systems integration or a related roleWorking knowledge of PythonExperience with APIs, webhooks, JSON and basic data handlingFamiliarity with automation tools such as n8n, Make, MS Power Automate, Google Workspace Flows, Vedtex AI Agent or similar platformsExposure to AI tools or LLM APIs such as Gemini, OpenAI, Anthropic or similarBasic understanding of databases and SQLAble to troubleshoot technical issues and improve workflow reliabilityClear communication and good documentation habitsComfortable working in a fast-moving, implementation-focused environmentAble to independently implement small-to-mid-sized integrations and automation workflowsNice to HaveExperience with FastAPI, Node.js or lightweight backend servicesFamiliarity with RAG, vector databases or knowledge-base workflowsExperience with document extraction, OCR or structured data captureExposure to voice-agent tools, scheduling integrations or CRM workflowsBasic frontend or dashboard experienceComfortable working directly with business stakeholders to clarify requirements and translate them into reliable solutionsWhat Success Looks LikeYou can take a defined workflow problem and help turn it into a working automationYou write clean, reliable implementation code and integrationsYou can support testing, rollout and iteration with minimal supervisionYou contribute to solutions that improve speed, reliability and operational efficiency for clientsWhy Join HumineticWork on practical AI automation projects with real business impactBuild across multiple use cases, systems and industriesGain hands-on exposure to applied AI, automation, integrations and client deliveryGrow into a stronger implementation engineer in a fast-evolving spaceSuggested Application LineApplicants should include a short note on relevant automation or AI projects, including tools used, systems integrated and their specific contribution.