***Active TS clearance required; must be eligible for CI Polygraph. Applicants without an active TS clearance will not be considered.. ***

North Point Technology is looking for a TS Cleared Software Engineer to support a critical mission.  The program delivers cutting-edge intelligence and geospatial data management applications and services to the National Geospatial-Intelligence Agency (NGA).   The Program’s focus is on meeting the current mission needs of our customer, but also pioneering future automation solutions for the NGA based on agency directives. We are developing innovative solutions for geospatial analysis and production capabilities that will revolutionize the way intelligence is distributed to stakeholders.  

In this role, you will be part of a software development Scrum team assisting with software requirements verification, software development and operational support. The successful candidate will have experience and/or knowledge of SCRUM processes and System Requirements verification (such as Jira, Confluence

Required Qualifications:

• Frontend web development using modern techniques and frameworks (e.g., HTML5, CSS3, CSS frameworks like LESS and SASS, Responsive Design, Bourbon, Twitter Bootstrap)
• JavaScript development using modern standards, including strict mode compliance, modularization techniques and tools, and frameworks and libraries (e.g., jQuery, MV* frameworks such as Backbone.js and Ember.js, D3)
• Consuming RESTful APIs
• Using and working in team environments that use agile methodologies (e.g., Scrum, Lean)
• Use of version control systems, specifically Git and GitHub
• Ensuring Section 508 Compliance
• Quickly researching and learning new programming tools and techniques
• Using and working with open-source solutions and community
• Creating web layouts from static images
• Creating views and templates in full-stack frameworks like Rails, Express, or Django

Preferred Qualifications:

• Kubernetes
• Docker
• Continuous Integration and Deployment Tools: Git, Jenkins, Puppet, Docker
• Agile SW development methodologies

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview