Software Engineer (Early Career)

Uare.ai

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning, NLP, or AI
  • Proficient with large language models (LLMs) and retrieval-augmented generation (RAG) pipelines
  • Experience working with cloud AI platforms like AWS, Azure, or GCP
  • Familiar with vector databases and prompt engineering
  • Added advantage for experience in voice cloning or speech synthesis

Responsibilities

  • Design and implement machine learning workflows using both structured and unstructured data
  • Utilize state-of-the-art language models and voice technologies
  • Develop and optimize retrieval-augmented generation systems
  • Collaborate with product and engineering teams to transition prototypes into production
  • Contribute to shaping innovative AI-powered human interaction products

Benefits

  • Comprehensive health and wellness benefits
  • Equity in a mission-driven startup
  • Opportunities for professional development
  • Flexible work environment
  • Potential for significant career growth in an early-stage company
Full Job Description
About the Role:

We are seeking a highly skilled Machine Learning Engineer to join an early-stage, mission-driven startup that's building cutting-edge AI-powered products for real-world human interaction. You will be responsible for designing and implementing scalable machine learning pipelines, integrating foundation models, and fine-tuning retrieval systems that deliver high-quality, context-aware responses.

What You'll Do:
  • Design and implement machine learning workflows that combine structured and unstructured data.
  • Work with state-of-the-art language models and voice technologies.
  • Build and optimize retrieval-augmented generation (RAG) systems.
  • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems.
  • Help shape the future of AI-powered human interaction products.

What We're Looking For:
  • Experience in machine learning, NLP, or AI.
  • Strong experience with LLMs, RAG pipelines, vector databases, and prompt engineering.
  • Hands-on experience with cloud-based AI platforms (AWS, Azure, or GCP).
  • Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.
  • Excited about building 0-to-1 products in a fast-moving environment.


The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package.

Annual Salary

$100,000-$150,000 USD

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