[Remote] AI Software Engineer

Note The job is a remote job and is open to candidates in USA. Arva is a machine learning software-based SaaS company developing technology for regenerative agriculture and sustainability. The AI Software Engineer will design, build, and operate AI-enabled services, including agentic systems, AI/ML services, backend APIs, data pipelines, integrations, and user-facing tools. The role also involves deploying services on AWS, implementing QA/QC processes, and collaborating with data scientists, agronomists, and product stakeholders. 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 Skills 2–5 years of professional software development experience building and shipping production systems Strong proficiency in Python, including experience with modern application frameworks, testing, and packaging practices Demonstrated experience building applications or services that use large language models or other machine learning models in production Working knowledge of relational databases and SQL, with practical experience designing schemas and writing performant queries Experience developing and consuming RESTful APIs Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices including version control, CI/CD, and automated testing Ability to work independently on ambiguous problems, and to communicate technical trade-offs clearly to both technical and non-technical colleagues Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience Only applicants currently eligible to work in the United States will be considered for this position Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and LangChain Familiarity with Mixture-of-Experts (MoE) architectures, model routing, and ensemble or multi-model system design Production experience with Python and the Django framework Proficiency with TypeScript, JavaScript, and Vue.js Advanced PostgreSQL experience, including performance tuning and the PostGIS extension Experience with geospatial data formats, coordinate systems, raster and vector processing, satellite or remote sensing imagery, and libraries such as GDAL, rasterio, GeoPandas, or Shapely Building large-scale ETL/ELT pipelines, batch and streaming workflows, and orchestration tooling Depth across services such as Lambda, S3, ECS/Fargate, RDS, Batch, SQS/SNS, Step Functions, and IAM Designing and maintaining robust third-party and partner API integrations Establishing automated quality assurance and quality control processes for software, data, and model outputs Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets Benefits Be part of building something innovative and foundational in regenerative agriculture and sustainability Contribute to work that's bigger than any one role and drives lasting impact across the globe Meaningful career growth as we scale Target annual bonus 401(k) contribution Flexible PTO Stock options 100% employer-paid health insurance premiums Company Overview Arva is an environmental intelligence (EI) engine linking agriculture and the corporations that depend on it - supporting profitable farms, resilient supply chains, and defensible reporting. It was founded in 2018, and is headquartered in Salt Lake City, Utah, USA, with a workforce of 51-200 employees. Its website is ht