Junior AI/ML Engineer

Drivenintelligence; United States; Hybrid; USD 75,000 - 120,000; Full time

Job summary

Drivenintelligence in the United States is seeking a junior AI/ML Engineer to prototype and implement LLM-powered workflows and AI applications. You will build prototypes using Python, orchestrate retrieval systems, and collaborate with business stakeholders to translate requirements into practical tools.

You will work with data engineers, adopt best practices, and document model behavior, results, and decisions while growing hands-on skills in NLP, MLOps, and deployment.

Qualifications

• Hands-on Python experience with a basic understanding of ML concepts.
• Exposure to LLMs, embeddings, retrieval-augmented generation, or AI application development.
• Ability to test, evaluate, and improve outputs rather than treating model responses as magic.
• Familiarity with APIs, Git, and modern software development workflows.
• Curiosity, humility, and a drive to build practical AI systems for business users.

Responsibilities

• Build AI application prototypes using Python, LLM APIs, retrieval systems, and workflow tools.
• Support data preparation, embedding workflows, prompt design, and evaluation runs.
• Help turn proof-of-concept AI workflows into reliable applications and internal tools.
• Collaborate with data engineers, adoption leads, and business stakeholders to clarify requirements.
• Document model behavior, limitations, test results, and implementation decisions.

Skills

Python

ML concepts

LLMs

Embeddings

APIs & Git

Education

NLP/ML coursework

Tools

LangChain

LlamaIndex

OpenAI APIs

Vector databases

Git

Job description

Build, evaluate, and improve AI-powered applications, including LLM workflows, RAG prototypes, model integrations, and automation experiments.

Remote / Hybrid United States Junior

Role Overview

This role is for an early-career AI/ML engineer who wants to build useful systems, not just notebooks. You will help prototype and implement LLM-powered workflows, retrieval systems, evaluations, and model integrations for real business problems.

What You Will Do

• - Build AI application prototypes using Python, LLM APIs, retrieval systems, and workflow tools.
• - Support data preparation, embedding workflows, prompt design, and evaluation runs.
• - Help turn proof-of-concept AI workflows into reliable applications and internal tools.
• - Collaborate with data engineers, adoption leads, and business stakeholders to clarify requirements.
• - Document model behavior, limitations, test results, and implementation decisions.

What We Are Looking For

• - Hands-on Python experience and a basic understanding of machine learning concepts.
• - Exposure to LLMs, embeddings, retrieval-augmented generation, or AI application development.
• - Ability to test, evaluate, and improve outputs instead of treating model responses as magic.
• - Familiarity with APIs, Git, and modern software development workflows.
• - Curiosity, humility, and a strong desire to build practical AI systems for business users.

Nice To Have

• - Experience with LangChain, LlamaIndex, OpenAI APIs, vector databases, or similar tools.
• - Coursework or projects in NLP, ML engineering, data science, or applied AI.
• - Basic knowledge of deployment, monitoring, or MLOps practices.

Position Junior AI/ML Engineer