Full Stack Software Engineer, Pelico

• 3+ years of experience as a data engineer, software engineer, ML engineer, or FDE-type role, ideally in a customer-facing or consulting environment
• Full-stack data competency — from ingestion to modeling, warehousing, and productionization
• Strong proficiency in Python, SQL, and modern data infrastructure (Snowflake, Airflow/Mage, DBT, AWS, etc.)
• Experience working with messy operational and enterprise data (ERP, supply chain, manufacturing, field ops, etc.)
• Excellent communication and business acumen — you can speak fluently with executives, engineers, and operators
• Thrive in a fast-moving, ambiguous, early-stage startup environment; you’re scrappy, action-oriented, and self-directed
• Comfortable experimenting with AI, LLMs, and automation to eliminate manual work and accelerate delivery

Desirable

• Pelico is hiring its first Forward Deployed Engineers (FDEs) — hands-on builders who thrive at the intersection of data engineering, AI-driven automation, and customer problem-solving
• This role sits between data engineering, software engineering, and solution delivery, and requires strong Python/SQL capabilities paired with an AI-native mindset
• As an FDE, you’ll work directly with Pelico’s leadership and with our largest enterprise customers to deliver world-class AI implementations: standing up modern data stacks, building automated workflows, and deploying AI-powered agents that make operations teams dramatically more productive
• This is a technical role with massive ownership. You’ll write production code, design pipelines, meet customers, support go-to-market motions, and shape Pelico’s early product and delivery playbook
• Within your first 30 days, you’ll meet customers, ship production-grade code, and contribute directly to strategic deployments
• Work hand-in-hand with customers to understand their systems (ERPs, MES, PLM, etc.) and translate business logic into scalable data models
• Own end-to-end deployments, from scoping and ingestion to modeling, pipeline design, and production rollout
• Build AI-powered data transformations using Python, Pandas, and LLM APIs to clean, integrate, and enrich complex, messy operational datasets
• Design, optimize, and maintain end-to-end data infrastructure using potentially any hyperscaler, including Microsoft’s data platform (Azure Data Lake Storage, Azure SQL, Azure Kubernetes), while integrating modern AI/ML tools and LLM APIs
• Prototype internal tools and AI agents that accelerate Pelico implementations and unlock new customer workflows
• Support sales and customer success, joining technical calls, sizing implementations, and identifying expansion opportunities
• Influence Pelico’s product roadmap, helping determine what to automate next, where to templatize, and how we scale implementations from 10 to 1,000 customers, besides building the 0 to 1 versions yourself