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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Trulioo - **Location:** San Diego, CA, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Cloud Computing, Cursor (Graphical User Interface Elements), Elasticsearch, Apache Hive, Integrated Development Environments, Python (Programming Language), Node.Js, NoSQL, Systems Development Life Cycle, Software Engineering, SQL Databases, TypeScript, Workflow Management Systems, AWS Cdk, Data Processing, Data Ingestion, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Apache Spark, Backend, Pyspark, Information Technology, Presto, Api Design, Terraform, GPT, Data Pipelines - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/junior-software-engineer-trulioo-com-9881792 ## About the Role * 1-2 years of experience working in a software engineering or development environment. * Master's degree in Computer Science, Data Science, Engineering, or a closely related field. * Solid foundation in Python and/or another backend language, with the ability to write clean, readable, testable code. * Understanding of SQL and/or NoSQL databases, and basic API design (REST at minimum). * Exposure to cloud infrastructure (AWS preferred) - coursework, internship, or personal project experience is fine. * Some exposure to data pipelines or data processing (e.g., via coursework, internships, or projects using tools like PySpark, Airflow, or similar) is a plus, not a requirement. * A self-starter mindset - comfortable with ambiguity, asking good questions, and figuring things out rather than waiting for a fully specified task. * Genuinely excited about working with the newest AI tooling - you've already been experimenting with it because you wanted to, not because a class required it. * Driven to actually ship usable products: you'd rather get a real project working end-to-end than perfect just one piece of it. * Eager to learn how production systems really work - testing, deployment, monitoring, on-call support and troubleshooting- beyond what a class or internship typically covers. * A good collaborator who communicates clearly and is comfortable working alongside more senior engineers. Bonus (Nice to Have, Not Required) * Coursework or projects touching orchestration tools (Apache Airflow, Dagster), OpenSearch/Elasticsearch, or BigData tools (Spark, Presto/Trino, Hive). * Familiarity with TypeScript/React/Node.js for full-stack project work. * Exposure to infrastructure-as-code (Terraform, AWS CDK). * Interest or coursework in identity verification, fraud, security, or fintech. Level-Setting on AI Experience: * You don't need professional experience shipping AI products - we're looking for genuine curiosity and self-directed learning and hands-on experimentation, not a resume full of AI job titles. * Comfortable using AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) as part of how you write code, and interested in getting better at it. * Have built at least one project - for coursework, a hackathon, research, or on your own - involving an LLM doing more than single-shot Q&A: calling tools/functions, chaining steps, using retrieval, or coordinating multiple steps toward a goal. * Exposure to LLM APIs (Anthropic, OpenAI, Google Vertex AI/Gemini) or agent frameworks (LangGraph, LangChain, AutoGen, or similar) is a strong plus, even at a project or coursework level - deep production expertise is not expected. * Genuinely interested in the practical side of AI engineering: why these systems behave unpredictably, and what it takes to make them reliable enough to ship. ## Description We're looking for a Junior Software Engineer to help take various Agentic verification capabilities from proof-of-concept to a real, production system. This is a great fit for a recent or soon-to-graduate Master's student who has spent their program building real projects with modern AI tools - not just using ChatGPT, but experimenting with coding assistants and building agent-style projects on your own initiative. We're not expecting years of professional AI experience. We're looking for people who are curious, self-driven, and have already started exploring this space through coursework, personal projects, or hackathons, and who want to keep building in a production environment. This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize how work is performed. This will be a full-time, permanent position working out of the San Diego office on a hybrid model (3-days per week in the office). What You'll Be Doing: * Help take various Discovery Agent prototypes (e.g. Vertex AI-based) through the SDLC - contributing to design, implementation, testing, and deployment (via API and Agentic access). * Help harden POC-quality agent code toward production quality: error handling, observability, testing, and basic cost/latency awareness. * Help build test cases and evaluation checks for agent behavior - an important and different skill from testing traditional deterministic code. * Support data ingestion and pipeline work feeding the agent, using AWS/BigData tooling. * Work with Product team and senior engineers to turn business requirements into shipped features. * Learn and contribute to production support practices: monitoring, alerting, and incident response for an AI-driven service. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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