Junior Engineer, AI

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

📋 Description

• Develop and implement internal 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, delivering AI-driven solutions that effectively support public health initiatives and government operations.

• Design tools that gather, consolidate, and analyze data from existing sources, automating processes intelligently to replace manual tasks.

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

• 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 like AppScript or equivalent.

• Collaborate with the AI Committee Lead to convert client or end-user public health requirements into specific technical needs and measurable AI solutions.

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

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

• Report findings, recommendations, and project progress to leadership and relevant project teams.

• Investigate emerging AI models and platforms to help select the most suitable tools for particular use cases.

• Establish testing and quality assurance processes to guarantee AI accuracy and dependability.

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

• Create and sustain documentation and best practices across AI tools.

⛳️ Requirements

• A Bachelor's degree and at least 1 year of relevant experience are required; recent graduates are encouraged to apply.

• A minimum of 1+ years of internship-level, coursework-related, or professional experience in building AI/ML applications or similar software engineering roles.

• Proficient in Python (or a similar programming language).

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

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

• Familiarity with vector databases, including open-source solutions and cloud-native vector search options.

• Experience working with LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.).

• Knowledge of Google AppScript or similar automation tools.

• Experience in testing LLM outputs for accuracy, reliability, and performance.

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

• Ability to work autonomously and collaboratively within a fast-paced remote consulting environment.

• A commitment to BME’s shared values.

🏝️ Benefits

• Over 6 weeks of total leave, encompassing paid vacation, sick time, personal leave, and floating holidays;

• Comprehensive health, dental, and vision insurance, with 75% employer-covered costs for the employee & 50% employer-covered costs for dependents;

• Health FSA and dependent care FSA options;

• 401(k) plan with employer matching;

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

• One-time technology stipend;

• Opportunities for professional development and career advancement.