Founded in 2004, BME Strategies is a Massachusetts-based consulting firm specializing in the design, implementation, and evaluation of public health programs for local, regional, and state government partners. Our work supports evidence-based, community-driven solutions that strengthen public health systems and advance equity across the communities we serve. At BME, our clients are on the front lines of Public Health. Priorities may shift but our commitment to supporting our partners does not. We take pride in having multi-year, multi-project engagements, often working closely as an extension of their staff. Our success comes from our shared values: a bias toward action; optimistically collaborative; willingness to navigate ambiguity; minimal ego - no job is too small or big; pursuing the equitable solution; always learning, and; committed to quality at every stage.Position OverviewBME 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. Key ResponsibilitiesAI 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.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.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, & SkillsRequired: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. 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.Interest in or experience within public health, healthcare, or government sectors.Experience with projects that connect public health and tech is strongly preferred. Optimistic and solution-focused.Ability to concisely summarize technical ideas.Work Environment BME Strategies in a remote-first organization; this is a full-time position based in a home office environment within the U.S.Compensation & BenefitsBME Strategies offers a competitive compensation package that includes: 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;And opportunities for professional development and career growth.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. While we do our best to align the starting salary with the needs of the new hire, BME Strategies does not negotiate starting salary offers.
