Junior Engineer, AI

Position Overview

BME Strategies is seeking a Junior Engineer, AI to help design and build AI-powered tools that advance our public health capabilities. Reporting to the AI Committee Lead, you'll work across multiple cloud platforms and AI ecosystems to develop real solutions to real problems. This is a hands-on role ideal for someone who loves building things and wants their work to make a lasting impact. This role will translate emerging AI technologies into practical tools that help our team work smarter and serve clients better.

Requirements

• AI Tool Development (70%)
  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
  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

• Communication & Collaboration (20%)
  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 & Quality (10%)
  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

Experience, Qualification, & Skills Required

• 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

Preferred

• Experience with frameworks like LangChain, LlamaIndex, or similar

• Familiarity with MLOps tools and practices for deploying, monitoring, and managing models in production (e.g., Docker)

• Experience writing production-level SQL and working with data warehousing solutions (e.g., BigQuery, Snowflake)

• Experience with data privacy tools such as Google DLP

• Experience with projects that connect public health and tech is strongly preferred

• Optimistic and solution-focused

• Ability to concisely summarize technical ideas

• Experience with projects that connect public health and tech is strongly preferred

How To Apply

To apply for this position, please complete and submit all information in the application link. We expect a large volume of applicants for this position and only those candidates invited to move forward in the interview process will be contacted.

Important Notice on Recruitment Fraud

BME Strategies communicates with applicants only through email addresses ending @bmestrategies.com. We do not use third-party domains for recruitment outreach. If you receive communication from a different email address, please do not respond and report it to us at info@bmestrategies.com

Salary Range

The salary range for this position is $70,720 - $83,200 annually. Please note: New employees are typically brought into the organization at a salary between the range minimum and the salary range midpoint, dependent upon internal equity and the budgeted amount for the position.