Junior AI/ML Engineer

Driven Intelligence; United States; Hybrid; USD 80,000 - 100,000; Full time

Job summary

Dynamicinnovation is seeking a Junior AI/ML Engineer to contribute to building practical AI systems. This remote/hybrid position focuses on prototyping and implementing AI workflows that solve real business challenges.

The candidate should have a solid foundation in Python and machine learning concepts, along with a curiosity to improve AI outputs. Exposure to APIs and experience with tools like LangChain or OpenAI APIs is a plus.

Qualifications

• Hands-on Python experience and a basic understanding of machine learning concepts.
• Exposure to LLMs, embeddings, and AI application development.
• Ability to test and evaluate AI model outputs.

Responsibilities

• Build AI application prototypes using Python and LLM APIs.
• Support data preparation and workflow embedding.
• Collaborate with teams to clarify requirements for AI workflows.

Skills

Hands-on Python experience

Understanding of machine learning concepts

Familiarity with APIs

Curiosity and humility for AI systems

Tools

LangChain

OpenAI APIs

Job description

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.