Arva · 17 hours ago
Application Engineer
Arva Intelligence is a machine learning software-based SaaS company focused on optimizing agricultural practices. The Application Engineer will support the development of the company's cloud-based application platform, emphasizing API implementation, data integration, and backend services.
AgricultureArtificial Intelligence (AI)Machine Learning
Responsibilities
Develop and enhance application features that support seamless integration between frontend and backend systems
Build, modify, and maintain APIs to support internal services and external integrations
Contribute to database development using PostgreSQL, PostGIS, and NoSQL technologies to support data-driven applications
Assist in the development of data pipelines and ETL processes to ingest, clean, and transform large datasets
Support SaaS platform development initiatives aligned to product roadmaps and architectural standards
Implement application performance optimizations using best practices such as caching and efficient data handling
Develop and maintain queues and pipelines to process uploaded agricultural data efficiently
Participate in CI/CD workflows using tools such as GitHub and CircleCI to support automated testing and deployments
Collaborate with engineering, product, and operations teams to deliver intuitive, reliable user experiences
Participate in daily stand ups, code reviews, and technical design discussions
Qualification
Required
5+ years of experience in web-based application or SaaS platform development
Hands-on experience with Python and modern web application frameworks (Django preferred)
Experience building and consuming APIs, including integrations with third-party platforms
Working knowledge of AWS cloud services and cloud-based application development
Experience with PostgreSQL/PostGIS and familiarity with NoSQL data stores
Exposure to ETL processes, data transformation, and data ingestion pipelines
Experience with CI/CD tools and version control (GitHub, CircleCI, or similar)
Familiarity with JavaScript frameworks
Experience working in an Agile/Scrum environment
Strong problem-solving skills and the ability to work collaboratively across teams
Only applicants currently eligible to work in the United States will be considered for this position
Preferred
Experience or interest in agronomy, agriculture, climate, forestry, or environmental sciences, a plus
Exposure to geospatial data or large-scale datasets, preferred
Company
Arva
Arva Intelligence brings farmers the power of machine learning inside the farm gate to significantly improve economics and soil health.
Funding
Current Stage
Early StageTotal Funding
$0.07MKey Investors
SVG Ventures
2021-04-13Pre Seed· $0.07M
2019-05-15Non Equity Assistance
Recent News
2025-09-19
2025-07-15
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