About the Role:
We are looking for an AI-First Software Engineer to help us build faster, smarter, and more scalable software for the agriculture industry. This role is for a hands-on engineer who is excited about using modern AI tools across the software development lifecycle — from discovery and prototyping to implementation, testing, documentation, and code review. You should be comfortable moving quickly, learning new tools, and turning ambiguous product problems into high-quality software.
Responsibilities:
Product Engineering
- Build, test, ship, and maintain high-quality software across Seso’s platform.
- Work with Product and Design to turn customer and business problems into simple, reliable product experiences.
- Contribute across the stack, including frontend, backend, APIs, databases, integrations, and cloud infrastructure.
- Write clean, maintainable code and participate in thoughtful code reviews.
- Improve existing systems by reducing complexity, improving performance, and increasing reliability.
AI-First Development
- Use modern AI tools to improve your own engineering speed and quality across coding, debugging, testing, documentation, refactoring, and technical exploration.
- Experiment with tools such as Cursor, Claude, ChatGPT, GitHub Copilot, Codex-style agents, or other AI development environments.
- Create effective prompts, workflows, and review practices that help you produce better software faster.
- Use AI responsibly — validating outputs, checking edge cases, writing tests, and ensuring generated code meets Seso’s standards.
- Help the engineering team learn practical ways to use AI tools without compromising quality, security, or maintainability.
AI-Enabled Product Capabilities
- Help design and build product features that use LLMs, agents, structured data extraction, summarization, recommendations, search, classification, document understanding, or other AI-enabled capabilities.
- Integrate with AI APIs and platforms such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar tools.
- Evaluate AI-generated outputs for accuracy, reliability, cost, latency, safety, and user impact.
- Collaborate with Product and Engineering to decide when AI is the right solution.
Technical Quality
- Write tests and evaluation workflows that help ensure software and AI-enabled features behave reliably.
- Contribute to CI/CD, observability, logging, monitoring, and incident prevention.
- Think carefully about privacy, security, permissions, and data handling.
- Document technical decisions clearly so future teammates can understand and maintain your work.
Skillset:
- 3+ years of professional software engineering experience, or equivalent experience building and shipping production software.
- Strong experience with at least one backend or full-stack programming language such as Python, TypeScript, JavaScript, C#, Java, Go, or Ruby.
- Experience building web applications, APIs, data models, integrations, and production services.
- Hands-on experience using AI development tools such as Cursor, GitHub Copilot, Claude, ChatGPT, Codex-style agents, or similar tools.
- Strong understanding of how to review, test, and validate AI-generated code.
- Comfort working with cloud platforms such as AWS, Azure, or GCP.
- Fluency in Spanish and English is required.