Junior Software Engineer

Take Discovery Agent prototypes, such as Vertex AI-based prototypes, through the software development life cycle Contribute to design, implementation, testing, and deployment via API and Agentic access Harden proof-of-concept agent code toward production quality through error handling, observability, testing, and basic cost/latency awareness Build test cases and evaluation checks for agent behavior Support data ingestion and pipeline work feeding the agent using AWS/BigData tooling Work with the Product team and senior engineers to turn business requirements into shipped features Contribute to production support practices including monitoring, alerting, incident response, and troubleshooting for an AI-driven service Leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize work Requirements 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 Ability to write clean, readable, testable code Understanding of SQL and/or NoSQL databases Basic API design knowledge, REST at minimum Exposure to cloud infrastructure, AWS preferred Self-starter mindset and comfort with ambiguity Genuine interest and hands-on experimentation with modern AI tooling At least one project involving an LLM doing more than single-shot Q&A, such as calling tools/functions, chaining steps, using retrieval, or coordinating multiple steps Comfortable using AI coding assistants such as Claude Code, GitHub Copilot, or Cursor A good collaborator who communicates clearly and is comfortable working alongside more senior engineers Coursework or projects using data pipeline tools such as PySpark, Airflow, or similar is a plus, not a requirement Coursework or projects touching Apache Airflow, Dagster, OpenSearch/Elasticsearch, Spark, Presto/Trino, or Hive is nice to have Familiarity with TypeScript, React, or Node.js is nice to have Exposure to infrastructure-as-code such as Terraform or AWS CDK is nice to have Interest or coursework in identity verification, fraud, security, or fintech is nice to have Legally eligible to work in the USA Core Competencies Demonstrates strong capabilities in Python programming, API design, and cloud infrastructure, particularly with AWS. Proven experience in software development life cycle, data ingestion, and production support practices for AI-driven services. Highest-signal resume keywords Python Programming API Design AWS Cloud Infrastructure Data Pipeline Tools AI Tooling Experience Hard Skills Software Development Life Cycle SQL Databases NoSQL Databases Test Case Development Error Handling Observability Clean Code Practices Basic Cost Awareness LLM Project Experience Backend Language Proficiency Soft Skills Collaboration Clear Communication Self-Starter Mindset Comfort with Ambiguity Certifications & Qualifications Master's Degree in Computer Science Master's Degree in Data Science Master's Degree in Engineering Industry Keywords AI Fintech Identity Verification Fraud Security Tools & Technologies AWS PySpark Airflow Apache Airflow OpenSearch Elasticsearch Spark Presto Trino Terraform #J-18808-Ljbffr Jobtailor