Job Title

SuiteSolvers is a boutique consulting firm that helps mid-market companies transform and scale through smart ERP implementations, financial automation, and operational strategy. We specialize in NetSuite and Acumatica, and we’re building tools that make finance and operations more intelligent and less manual.Our clients range from high-growth startups to billion-dollar enterprises. We’re hands-on, fast-moving, and results-driven—our work shows up in better decisions, faster closes, cleaner audits, and smarter systems.We’re not a bloated agency. We’re a small team with high standards. If you like solving real business problems with clean data pipelines, smart automation, and the occasional duct-tape hack that gets the job done—this might be your kind of place.We are looking for a Data Engineer.Essential Technical SkillsAI/ML (Required)2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)Production deployment of at least one AI system that's currently running in productionLLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient)Function calling/tool use - ability to build AI systems that can call external APIs and functionsBasic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patternsPython Development (Required)3+ years Python development with strong fundamentalsAPI development using Flask or FastAPI with proper error handlingAsync programming - understanding of async/await patterns for concurrent operationsDatabase integration - working with PostgreSQL, MySQL, or similar relational databasesJSON/REST APIs - consuming and building REST servicesProduction Systems (Required)2+ years building production software that serves real usersError handling and logging - building robust systems that handle failures gracefullyBasic cloud deployment - experience with AWS, Azure, or GCP (any one platform)Git/version control - collaborative development using Git workflowsTesting fundamentals - unit testing and integration testing practicesBusiness Process (Basic Required)User requirements - ability to translate business needs into technical solutionsData quality - recognizing and handling dirty/inconsistent dataException handling - designing workflows for edge cases and errorsProfessional Experience (Minimum)Software Engineering3+ years total software development experience1+ production AI project - any AI/ML system deployed to production (even simple ones)Cross-functional collaboration - worked with non-technical stakeholdersProblem-solving - demonstrated ability to debug and resolve complex technical issuesCommunication & CollaborationTechnical documentation - ability to write clear technical docs and code commentsStakeholder communication - explain technical concepts to business usersIndependent work - ability to work autonomously with minimal supervisionLearning agility - quickly pick up new technologies and frameworksEducational Background (Any One)Formal EducationBachelor's degree in Computer Science, Engineering, or related technical fieldOR equivalent experience - demonstrable technical skills through projects/workAlternative PathsCoding bootcamp + 2+ years professional development experienceSelf-taught with strong portfolio of production projectsTechnical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have]Demonstrable Skills (Portfolio Requirements)Must Show Evidence OfOne working AI application - GitHub repo or live demo of LLM integrationPython projects - code samples showing API development and data processingProduction deployment - any application currently running and serving usersProblem-solving ability - examples of debugging complex issues or optimizing performanceNice to Have (Not Required)Financial services or fintech experienceVector databases (Pinecone, Weaviate) experienceDocker/containerization knowledgeAdvanced ML/AI education or certifications