[Hiring] AI Software Engineer @Arva Intelligence

Role Description

We are seeking an AI Software Engineer to design, build, and operate the AI-enabled services at the core of the Arva platform. This role sits at the intersection of applied AI engineering and production software development:

• Build agent-based systems using frameworks such as LangGraph and LangChain.
• Develop durable application and data infrastructure including APIs, pipelines, and interfaces.
• Hands-on engineering role for someone who ships production code independently.
• Apply modern AI techniques to a domain where correctness genuinely matters.

Key Responsibilities

• Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and LangChain, AWS Bedrock AgentCore.
• Develop and productionize AI/ML services in Python, including work with Mixture-of-Experts (MoE) and other multi-model architectures.
• 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.
• Build and optimize data processing pipelines that ingest, clean, normalize, and enrich large volumes of data.
• Develop and maintain integrations with external partner and customer APIs.
• 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.
• Participate in code review, architecture discussions, and technical planning.
• Partner with data scientists, agronomists, and product stakeholders to translate requirements into production systems.

Qualifications

• 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.
• Experience developing and consuming RESTful APIs.
• Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices.
• Ability to work independently on ambiguous problems.
• Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.

Preferred Qualifications

• Hands-on experience with AI frameworks like Amazon Bedrock, LangGraph, and LangChain.
• Familiarity with Mixture-of-Experts (MoE) architectures 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 and libraries such as GDAL, rasterio, GeoPandas, or Shapely.
• Building large-scale ETL/ELT pipelines and orchestration tooling.
• Depth across AWS 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.
• Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets.

Benefits

• Target annual bonus.
• 401(k) contribution.
• Flexible PTO.
• Stock options.
• 100% employer-paid health insurance premiums.

Employment Eligibility

Only applicants currently eligible to work in the United States will be considered for this position.