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Junior Engineer, AI

BME Strategies

Location
Remote
Workplace
Remote
Employment
Full Time
Salary
USD 70,720–83,200/yr
Apply on the employer’s site

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Build and deploy internal AI-powered applications and automation tools
  • Design and build external-facing applications, such as chatbots
  • Develop tools that collect, aggregate, and analyze data
  • Design and implement retrieval-augmented generation (RAG) pipelines
  • Experiment with and integrate large language models (LLMs), AI agents
  • Build lightweight internal-facing apps and dashboards
  • Translate client or end-user public health needs into technical requirements
  • Translate technical workflows and concepts for non-technical stakeholders
  • Collaborate with the AI Committee and program teams
  • Present findings, recommendations, and project updates
  • Research emerging AI models and platforms
  • Implement testing and quality assurance frameworks
  • Monitor the performance, cost, and reliability of deployed AI models

Requirements

  • 1 year of relevant experience and a Bachelor's degree
  • 1+ years of experience building AI/ML applications or related software engineering roles
  • Strong Python 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
  • 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
  • Experience writing production-level SQL
  • Experience 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
  • Optimistic and solution-focused
  • Ability to concisely summarize technical ideas

Skills

  • Python
  • GCP
  • AWS
  • Azure
  • Anthropic
  • OpenAI
  • Google AppScript
  • LangChain
  • LlamaIndex
  • Docker
  • SQL
  • BigQuery
  • Snowflake
  • Google DLP

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