Junior Engineer, AI

BME Strategies

Junior Engineer, AI designing and building AI-powered tools for BME Strategies' public health capabilities. A hands-on role focusing on emerging AI technologies and automation.

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesJunior💰 $70,720 - $83,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Build and deploy internal AI-powered applications and automation tools across multiple platforms, including Google Cloud Platform (GCP), AWS, Azure, and/or Anthropic/OpenAI APIs.
Design and build external-facing applications, such as chatbots, tailored to client needs, delivering AI-powered solutions that directly support public health programs and government operations.
Develop tools that collect, aggregate, and analyze data from our existing sources, replacing manual processes with intelligent automation.
Design and implement retrieval-augmented generation (RAG) pipelines to power intelligent, context-aware internal tools.
Experiment with and integrate large language models (LLMs), AI agents, and emerging frameworks to solve operational and public health challenges.
Build lightweight internal-facing apps and dashboards using tools like AppScript, or similar.
Partner with AI Committee Lead to translate client or end-user public health needs into concrete technical requirements and measurable AI solutions.
Translate technical workflows and concepts clearly for non-technical stakeholders.
Collaborate closely with the AI Committee and program teams to identify and prioritize high-impact opportunities.
Present findings, recommendations, and project updates to leadership and relevant project teams.
Research emerging AI models and platforms and help select the right tools for specific use cases.
Implement testing and quality assurance frameworks to ensure AI accuracy and reliability.
Monitor the performance, cost, and reliability of deployed AI models and systems, implementing optimizations as needed.
Establish and maintain documentation and best practices across AI tooling.

Requirements

What you’ll need

1 year of relevant experience and a Bachelor's degree required; recent college graduates encouraged to apply.
1+ years of internship-level, undergraduate coursework-related, or professional experience building AI/ML applications or related software engineering roles.
Strong Python (or similar) programming skills.
Proven experience designing and implementing retrieval-augmented generation (RAG) systems.
Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure).
Experience with vector databases, including open-source solutions, and cloud-native vector search offerings.
Experience working with LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.).
Familiarity with Google AppScript or similar automation tools.
Experience testing LLM outputs for accuracy, reliability, and performance.
Strong communication skills with non-technical audiences.
Ability to work independently and as part of a team in a fast-paced remote consulting environment.
And an alignment with BME’s shared values.

Benefits

Comp & perks

6+ weeks total leave, including paid vacation, sick time, personal leave, and floating holidays;
Health, dental, and vision insurance, with 75% employer-paid coverage for the employee & 50% employer-paid coverage for dependents;
Health FSA and dependent care FSA;
401(k) with employer match;
Employer-paid short-term and long-term disability insurance;
One-time technology stipend;
Opportunities for professional development and career growth.

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Hard Skills & Tools

PythonAI applicationsML applicationsretrieval-augmented generation (RAG)cloud platformsvector databasesLLM APIsautomation toolstesting LLM outputsdata analysis

Soft Skills

strong communication skillsindependent workteam collaborationfast-paced environmenttranslating technical conceptsprioritizationpresentation skillsproblem-solvingadaptabilitystakeholder engagement

Certifications

Bachelor's degree