Junior Software Engineer

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).

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.

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.

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.

At Trulioo, you’re not just an employee. You’re a valued member of our Trulicrew on a journey of professional and personal growth with a world-class organization. With Trulioo, you have the power to revolutionize the intersection of technology, digital trust and online identity to open the global economy to everyone. Together, we can shape the digital future.

We’re on the lookout for exceptional people to empower with trust, autonomy and the freedom to cultivate their potential. Your curiosity, meticulous attention to detail and passion to contribute are highly valued. If that resonates with you, apply today to become a part of our team. Join us in shaping a future where your career isn’t just a journey but also a boundless exploration into the possibilities of technology and digital identity verification.

Get an inside look at life at Trulioo by following us on LinkedIn , or learn more about us at www.trulioo.com

If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply.

Trulioo welcomes applications from people with disabilities. Support is available upon request for candidates taking part in all aspects of the selection process. Finally, we know from time-to-time emergencies happen and you may need to reschedule an interview - we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.

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