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Junior Engineer, AI

1 month, 2 weeks ago
United States
Full-time
Entry Level
AI Engineer
Software Development
AWS Azure Docker GCP LLM MLOps Python Snowflake SQL
Apply Now
BME Strategies

BME Strategies

BME Strategies specializes in designing and implementing innovative public health interventions, managing the day-to-day operations of programs and projects while collaborating closely with partners to adapt to shifting health priorities.

Professional Services
1-10
Founded 2004
View All Jobs 10

Description

  • Build and deploy internal AI-powered applications and automation tools across platforms such as GCP, AWS, Azure, and AI APIs.
  • Design and build external-facing applications, including chatbots, that support client public health programs and government operations.
  • Develop tools that collect, aggregate, and analyze data from existing sources to replace manual processes.
  • Design and implement retrieval-augmented generation (RAG) pipelines for context-aware internal tools.
  • Experiment with and integrate large language models, AI agents, and emerging frameworks to solve operational and public health challenges.
  • Build lightweight internal-facing apps and dashboards using AppScript or similar tools.
  • Translate client and end-user needs into concrete technical requirements and measurable AI solutions.
  • Communicate technical workflows and recommendations clearly to non-technical stakeholders and leadership.
  • Research emerging AI models and platforms to select the right tools for each use case.
  • Implement testing, quality assurance, monitoring, documentation, and best practices for AI systems.

Requirements

  • Bachelor’s degree required and at least 1 year of relevant experience; recent college graduates are encouraged to apply.
  • 1+ years of internship-level, undergraduate coursework-related, or professional experience building AI/ML applications or related software engineering work.
  • 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 options and cloud-native vector search offerings.
  • Experience working with LLM APIs such as OpenAI, Anthropic Claude, or Gemini.
  • 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 collaboratively in a fast-paced remote consulting environment.
  • Alignment with BME’s shared values.
  • Preferred: experience with frameworks such as LangChain or LlamaIndex.
  • Preferred: familiarity with MLOps tools and practices, such as Docker, for production deployment and monitoring.
  • Preferred: experience writing production-level SQL and working with data warehousing solutions such as BigQuery or Snowflake.
  • Preferred: experience with data privacy tools such as Google DLP.
  • Preferred: interest in or experience within public health, healthcare, or government sectors.
  • Preferred: experience on projects connecting public health and technology.
  • Preferred: optimistic, solution-focused mindset and ability to concisely summarize technical ideas.

Benefits

  • Competitive compensation package with a salary range of $70,720 to $83,200 annually.
  • 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 and 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.
  • Professional development and career growth opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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