AI Software Engineer

Arva is a machine learning software-based SaaS company focused on optimizing agricultural practices. They are seeking an AI Software Engineer to design and build AI-enabled services, develop production-ready AI/ML solutions, and maintain robust backend and frontend systems.

Responsibilities:

• Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and LangChain, AWS Bedrock AgentCore, including tool use, retrieval, memory, orchestration, and multi-step reasoning pipelines
• Develop and productionize AI/ML services in Python, including work with Mixture-of-Experts (MoE) and other multi-model architectures for routing, specialization, and ensemble prediction
• Build and extend backend services and APIs in Django, with PostgreSQL (and PostGIS) as the primary data layer
• Implement front-end features and internal tooling in TypeScript and Vue.js to expose AI capabilities and analytics to users
• Build and optimize data processing pipelines that ingest, clean, normalize, and enrich large volumes of geospatial, agronomic, imagery, and third-party data
• Develop and maintain integrations with external partner and customer APIs, including authentication, rate limiting, schema mapping, error handling, and monitoring
• Deploy, scale, and operate services on AWS using managed compute, storage, database, queueing, and serverless offerings
• Design and execute QA/QC processes for both software and data — automated testing, validation rules, anomaly detection, model evaluation, and regression checks — so that model outputs meet the accuracy and auditability standards our customers and verification bodies require
• Participate in code review, architecture discussions, and technical planning; write clear documentation for the systems you build
• Partner with data scientists, agronomists, and product stakeholders to translate scientific and business requirements into production systems