Junior Engineer, AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement AI-driven applications and automation tools across various platforms, including Google Cloud Platform (GCP), AWS, Azure, and/or Anthropic/OpenAI APIs.

• Create external-facing applications, such as chatbots, customized to meet client requirements, providing AI-powered solutions that effectively support public health initiatives and government operations.

• Build tools that gather, consolidate, and analyze data from existing resources, automating manual processes through intelligent solutions.

• Design and execute retrieval-augmented generation (RAG) pipelines to enhance intelligent, context-aware internal applications.

• Explore and integrate large language models (LLMs), AI agents, and new frameworks to address operational and public health issues.

• Develop lightweight internal applications and dashboards using tools such as AppScript or similar alternatives.

• Collaborate with the AI Committee Lead to translate public health needs from clients or end-users into specific technical requirements and measurable AI outcomes.

• Clearly communicate technical processes and concepts to non-technical stakeholders.

• Work closely with the AI Committee and program teams to identify and prioritize significant opportunities.

• Present insights, recommendations, and project progress to leadership and relevant project teams.

• Investigate new AI models and platforms to assist in selecting appropriate tools for various use cases.

• Establish testing and quality assurance protocols to ensure AI accuracy and reliability.

• Track the performance, cost, and reliability of deployed AI models and systems, making optimizations as necessary.

• Create and maintain documentation and best practices related to AI tools.

⛳️ Requirements

• A minimum of 1 year of relevant experience along with a Bachelor's degree is required; recent graduates are encouraged to apply.

• At least 1+ years of internship-level, relevant undergraduate coursework, or professional experience focused on building AI/ML applications or similar software engineering roles.

• Proficient programming skills in Python (or similar languages).

• Demonstrated experience in designing and implementing retrieval-augmented generation (RAG) systems.

• Practical experience with at least one of the major cloud platforms (GCP, AWS, or Azure).

• Knowledge of vector databases, including open-source options and cloud-native vector search services.

• Familiarity with LLM APIs (such as OpenAI, Anthropic Claude, Gemini, etc.).

• Experience with Google AppScript or similar automation tools.

• Proven ability to test LLM outputs for accuracy, reliability, and performance.

• Excellent communication skills when engaging with non-technical audiences.

• Capacity to work independently and collaboratively within a fast-paced remote consulting environment.

• A commitment to BME’s shared values.

🏝️ Benefits

• More than 6 weeks of total leave, including paid vacation, sick leave, personal days, and floating holidays;

• Comprehensive health, dental, and vision insurance, with 75% employer-paid coverage for employees and 50% for dependents;

• Health FSA and dependent care FSA options;

• 401(k) plan with employer matching;

• Employer-funded short-term and long-term disability insurance;

• One-time technology stipend;

• Opportunities for professional growth and career advancement.